The AI job market moves fast. We keep up so you don't have to.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleThe UK healthcare system is defined by its friction - complex billing requirements, rigid EHRs, and administrative burden that pulls clinicians away from patients.We're looking for Software Engineers to turn that friction into flow.You'll build the systems that make Heidi feel native to UK healthcare. That means going deep into the infrastructure clinicians actually use and making Heidi work seamlessly inside those workflows. It means building AI systems that handle the complexity of UK healthcare so clinicians don't have to.You'll work across the full stack of what makes Heidi valuable in the UK market: from the AI pipelines that understand clinical documentation to the integrations that put the right information in the right place at the right time.This isn't just localisation. It's building the definitive clinical AI experience for the world's most demanding healthcare market.What you’ll doBuild systems that live inside clinical workflows: You'll shape how Heidi integrates with the EHRs that run American healthcare. The goal isn't connectivity—it's making Heidi feel like a native capability, not a plugin.Turn clinical complexity into simple experiences: UK healthcare has layers of operational rules, compliance requirements, and funding constraints. You'll build systems that absorb that complexity so clinicians never see it.Build for trust and quality: Write clean, testable code with strong interfaces, thoughtful error handling, and observability. These workflows are depended on by clinicians, operators, and downstream systems.Own outcomes, not just code: You'll care about whether the things you build actually help clinicians and improve practice revenue—not just whether they technically work.Ship agentic workflow functionality: Build systems where AI assists with extraction, reconciliation, and drafting across workflows, with human review, auditability, and clear controls.: Build systems where AI assists with extraction, reconciliation, and drafting across workflows, with human review, auditability, and clear controls.Operate in close collaboration: Work day-to-day in a highly collaborative environment, including frequent pairing and shared ownership of design and implementation.Grow with the domain: Learn how healthcare organisations operate in practice, especially the requirements and constraints that come with serving US customers, and translate that into product improvements.What we’re looking for2-4 years of software engineering experience, with a track record of shipping complex systems that real users depend on.Strong full-stack fundamentals and experience contributing to user-facing products end-to-end.Sound engineering judgment: You make sensible trade-offs, keep scope clear, and improve quality through testing, readable code, and thoughtful design.Ownership and follow-through: You take responsibility for what you commit to, communicate clearly when something changes, and unblock yourself or escalate early.Collaborative working style: You work well with others, enjoy building in a tight feedback loop, and are comfortable pairing and sharing work in progress.Comfort with ambiguity: You can engage with messy problems, ask good questions, and drive toward a practical, shippable solution.Fluency with AI coding tools: You use modern AI tools to accelerate delivery, while staying rigorous about correctness and validation.Experience with agentic frameworks, modelling complex domains, orchestration, and event-driven architectures is a plus.What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you should Join HeidiReal product momentum. We’re not trying to generate interest, we’re channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia’s fastest growing start-up.Equity from day one. When Heidi wins, you win. You’ll share directly in the success you help create.Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day.Work alongside world-class talent. Join a team of operators and builders who’ve scaled unicorns.Global reach. Help shape our international expansion as we bring Heidi to key international markets.Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership, and your birthday off to recharge.Flexibility that works. A hybrid environment, with 3 days in the office.Heidi’s commitment to Diversity, Equity and InclusionHeidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants, as we're committed to promoting a culture of opportunity for all.Help us reimagine primary care and change the face of healthcare in the UK.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleThe UK healthcare system is defined by its friction - complex billing requirements, rigid EHRs, and administrative burden that pulls clinicians away from patients.We're looking for a Senior Software Engineer to turn that friction into flow.You'll build the systems that make Heidi feel native to UK healthcare. That means going deep into the infrastructure clinicians actually use and making Heidi work seamlessly inside those workflows. It means building AI systems that handle the complexity of UK healthcare so clinicians don't have to.You'll work across the full stack of what makes Heidi valuable in the UK market: from the AI pipelines that understand clinical documentation to the integrations that put the right information in the right place at the right time.This isn't just localisation. It's building the definitive clinical AI experience for the world's most demanding healthcare market.What you’ll doBuild systems that live inside clinical workflows: You'll shape how Heidi integrates with the EHRs that run American healthcare. The goal isn't connectivity—it's making Heidi feel like a native capability, not a plugin.Turn clinical complexity into simple experiences: US healthcare has layers of billing rules, compliance requirements, and payer constraints. You'll build systems that absorb that complexity so clinicians never see it.Build for trust and quality: Write clean, testable code with strong interfaces, thoughtful error handling, and observability. These workflows are depended on by clinicians, operators, and downstream systems.Own outcomes, not just code: You'll care about whether the things you build actually help clinicians and improve practice revenue—not just whether they technically work.Ship agentic workflow functionality: Build systems where AI assists with extraction, reconciliation, and drafting across workflows, with human review, auditability, and clear controls.: Build systems where AI assists with extraction, reconciliation, and drafting across workflows, with human review, auditability, and clear controls.Operate in close collaboration: Work day-to-day in a highly collaborative environment, including frequent pairing and shared ownership of design and implementation.Grow with the domain: Learn how healthcare organisations operate in practice, especially the requirements and constraints that come with serving US customers, and translate that into product improvements.What we’re looking for5+ years of software engineering experience, with a track record of shipping complex systems that real users depend on.Strong full-stack fundamentals and experience contributing to user-facing products end-to-end.Sound engineering judgment: You make sensible trade-offs, keep scope clear, and improve quality through testing, readable code, and thoughtful design.Ownership and follow-through: You take responsibility for what you commit to, communicate clearly when something changes, and unblock yourself or escalate early.Collaborative working style: You work well with others, enjoy building in a tight feedback loop, and are comfortable pairing and sharing work in progress.Comfort with ambiguity: You can engage with messy problems, ask good questions, and drive toward a practical, shippable solution.Fluency with AI coding tools: You use modern AI tools to accelerate delivery, while staying rigorous about correctness and validation.Experience with agentic frameworks, modelling complex domains, orchestration, and event-driven architectures is a plus.What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you should Join HeidiReal product momentum. We’re not trying to generate interest, we’re channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia’s fastest growing start-up.Equity from day one. When Heidi wins, you win. You’ll share directly in the success you help create.Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day.Work alongside world-class talent. Join a team of operators and builders who’ve scaled unicorns.Global reach. Help shape our international expansion as we bring Heidi to key international markets.Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership, and your birthday off to recharge.Flexibility that works. A hybrid environment, with 3 days in the office.Heidi’s commitment to Diversity, Equity and InclusionHeidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all.Help us reimagine primary care and change the face of healthcare in the UK and beyond.

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleThe UK healthcare system is defined by its friction - complex billing requirements, rigid EHRs, and administrative burden that pulls clinicians away from patients.We're looking for Software Engineers to turn that friction into flow.You'll build the systems that make Heidi feel native to UK healthcare. That means going deep into the infrastructure clinicians actually use and making Heidi work seamlessly inside those workflows. It means building AI systems that handle the complexity of UK healthcare so clinicians don't have to.You'll work across the full stack of what makes Heidi valuable in the UK market: from the AI pipelines that understand clinical documentation to the integrations that put the right information in the right place at the right time.This isn't just localisation. It's building the definitive clinical AI experience for the world's most demanding healthcare market.What you’ll doBuild systems that live inside clinical workflows: You'll shape how Heidi integrates with the EHRs that run American healthcare. The goal isn't connectivity—it's making Heidi feel like a native capability, not a plugin.Turn clinical complexity into simple experiences: UK healthcare has layers of operational rules, compliance requirements, and funding constraints. You'll build systems that absorb that complexity so clinicians never see it.Build for trust and quality: Write clean, testable code with strong interfaces, thoughtful error handling, and observability. These workflows are depended on by clinicians, operators, and downstream systems.Own outcomes, not just code: You'll care about whether the things you build actually help clinicians and improve practice revenue—not just whether they technically work.Ship agentic workflow functionality: Build systems where AI assists with extraction, reconciliation, and drafting across workflows, with human review, auditability, and clear controls.: Build systems where AI assists with extraction, reconciliation, and drafting across workflows, with human review, auditability, and clear controls.Operate in close collaboration: Work day-to-day in a highly collaborative environment, including frequent pairing and shared ownership of design and implementation.Grow with the domain: Learn how healthcare organisations operate in practice, especially the requirements and constraints that come with serving US customers, and translate that into product improvements.What we’re looking for2-4 years of software engineering experience, with a track record of shipping complex systems that real users depend on.Strong full-stack fundamentals and experience contributing to user-facing products end-to-end.Sound engineering judgment: You make sensible trade-offs, keep scope clear, and improve quality through testing, readable code, and thoughtful design.Ownership and follow-through: You take responsibility for what you commit to, communicate clearly when something changes, and unblock yourself or escalate early.Collaborative working style: You work well with others, enjoy building in a tight feedback loop, and are comfortable pairing and sharing work in progress.Comfort with ambiguity: You can engage with messy problems, ask good questions, and drive toward a practical, shippable solution.Fluency with AI coding tools: You use modern AI tools to accelerate delivery, while staying rigorous about correctness and validation.Experience with agentic frameworks, modelling complex domains, orchestration, and event-driven architectures is a plus.What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you should Join HeidiReal product momentum. We’re not trying to generate interest, we’re channeling it. This is a rare chance to create a global impact as you immerse yourself in Australia’s fastest growing start-up.Equity from day one. When Heidi wins, you win. You’ll share directly in the success you help create.Unmatched impact. Play a pivotal role at a critical growth moment - all while working on a product that delivers tangible value to clinicians and patients every day.Work alongside world-class talent. Join a team of operators and builders who’ve scaled unicorns.Global reach. Help shape our international expansion as we bring Heidi to key international markets.Growth and balance. Enjoy a personal development budget, dedicated wellness days, subsidised gym membership, and your birthday off to recharge.Flexibility that works. A hybrid environment, with 3 days in the office.Heidi’s commitment to Diversity, Equity and InclusionHeidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants, as we're committed to promoting a culture of opportunity for all.Help us reimagine primary care and change the face of healthcare in the UK.

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About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the implementation of AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks. Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production. Systems Integration: Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations. What you’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field 3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong ability to communicate and  lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences.  Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization. Programming experience in Python, JavaScript, or similar for scripting and integrations Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.  Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus. Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus.  Why You’ll Love It Here   Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Hybrid

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.The MissionCrusoe is building the world’s most climate-aligned AI infrastructure. As we scale toward unprecedented power densities and liquid-cooled architectures, the gap between "Data Center Design" and "Silicon Reality" must be bridged.We are seeking a Senior Staff Data Center Operations Engineer, GPU Hardware Architecture to be the definitive technical authority on GPU platforms within the Data Center Engineering and Operations organization. Your mission is twofold: act as the primary technical consultant to our Data Center Engineering team to ensure future facilities are built for next-gen silicon, and provide the Operations team with the specialized tooling, SOPs, and predictive strategies needed to maintain peak cluster health. The Strategic BridgeFor DC Engineering: You are the internal consultant. You translate upcoming GPU power/thermal roadmaps (NVIDIA/AMD) into design requirements for our next-generation facilities.For Site Operations: You are the "Technical Enabler." You develop the diagnostic tools and technical SOPs that enable field technicians to resolve complex GPU issues with surgical accuracy.For Sourcing: You are the "Technical Strategist." You define the technical sparing requirements and site-level inventory needs based on hardware failure telemetry. Key ResponsibilitiesEngineering Education & Design Support: Provide deep-dive technical guidance to the Data Center Engineering team on upcoming silicon (e.g., NVIDIA Blackwell/Rubin, AMD MI350/400). Ensure future facility designs for power, cooling, and rack-spacing are ready for 2000W+ per-chip densities.Predictive Operations & Telemetry: Leverage AI/ML methodologies to analyze fleet-wide telemetry (power draws, thermal gradients, and error rates). You will lead the transition from reactive troubleshooting to predictive maintenance, identifying "pre-failure" patterns in HBM or NVLink components before they impact customer training runs.Technical Sparing Architecture: Architect the site-level sparing strategy from a technical perspective. Use failure telemetry and MTBF data to define the "Critical Spares List" and stocking levels required at each site to meet cluster uptime targets, providing these requirements to Sourcing for execution.Operational Tooling & SOPs: Build the "Operational Blueprint" for the field. Create precision SOPs for high-stakes GPU repairs (e.g., baseboard swaps, manifold maintenance) and develop diagnostic tooling that allows Site Ops to identify NVLink flapping, PCIe degradations, or thermal throttling.Advanced Troubleshooting & RCA: Act as the Tier-3 escalation point for the most complex hardware failures in the production environment. Lead Root Cause Analysis (RCA) on systemic issues that span the boundary between hardware and facility environmental factors.Silicon Roadmap Authority: Maintain a 24-month forward-looking view of NVIDIA and AMD architectures. Educate internal stakeholders on how transitions in HBM4, interconnect speeds, and liquid-cooling will impact Crusoe’s physical infrastructure.Vendor & VAR Technical Lead: Support the technical relationship with OEMs and VARs. Audit their hardware builds, review their technical bulletins, and ensure their hardware roadmaps align with Crusoe’s operational and engineering standards. Technical RequirementsSilicon & Fabric Mastery: Expert-level knowledge of NVIDIA (Hopper/Blackwell/Rubin) and AMD (Instinct) architectures. Mastery of the physical and logical layers of NVLink, NVSwitch, and InfiniBand.Infrastructure Bridge-Building: Ability to translate "Silicon Data Sheets" into "Mechanical Engineering Requirements." You can explain how a GPU's specific heat-load profile affects CDU sizing and secondary loop design.Data-Driven Diagnostics: Proficient in Python, Go, or Bash to build telemetry and health-check tools (utilizing DCGM and ROCm). Experience using large datasets or basic ML frameworks to build "Smart Monitoring" that filters critical health signals from noise.Operational Reliability Analysis: Experience using failure telemetry to inform site-level sparing requirements and field-service workflows.Thermal Management: Deep understanding of the operational realities of Direct-to-Chip (D2C) cooling, including fluid dynamics, pressure-drop curves, and the lifecycle of dripless couplings. Qualifications10+ years in Hardware Engineering, Systems Architecture, or Data Center Infrastructure.The "Consultant" Mindset: Proven track record of educating and influencing cross-functional teams (specifically Engineering and Operations).GPU Authority: You have managed or architected GPU clusters at scale (thousands of nodes) at a hyperscaler, a GPU-specialized cloud, or a major silicon vendor.Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field. Benefits:Competitive compensationRestricted Stock UnitsPaid time off & paid holidaysComprehensive health, dental & vision insuranceEmployer contributions to HSA accountPaid parental leavePaid life insurance, short-term and long-term disabilityProfessional development & tuition reimbursementMental health & wellness supportCommuter benefits (parking & transit)Cell phone stipend401(k) Retirement plan with company match up to 4% of salaryVolunteer time off Compensation RangeCompensation will be paid in the range of up to $179,000 -$218,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments.    In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities.    This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site.  What you'll do: Deploy with customers on site (~50% travel) to support software integration and development activities.    Become an expert user of the Hivemind enterprise software stack and its various autonomy modules.    Provide technical support and training to customers on use of Hivemind.    Develop AI & Autonomy applications using the Shield AI enterprise software development kit.   Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions   Assist in post-sales deployment and integration of Shield AI enterprise software products.    Develop and maintain technical documentation and training materials.    Help customers debug software/API integration issues.    Collaborate with the product engineering team to address customer feedback and improve products.    Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field, and 7+ years of industry experience, OR    Master’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience.   Strong technical background in software engineering.    Strong proficiency in writing modern C++ code.    Excellent problem-solving and analytical skills.    Strong communication and interpersonal skills.  Preferred qualifications: Experience in the defense, aviation, autonomy, or robotics industry.    Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer.   Experience operating in a fast-paced, startup-like, environment.   Advanced technical degree, especially in robotics or autonomy related fields  #LI-FB1 #LD Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

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The AI orchestration of your wildest imagination.n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 188+ GitHub stars, making us one of the world’s Top 40 most popular projectsBacked by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.At n8n, we think the future of software lives in the wonderfully weird space between deterministic workflows, AI agents, and human judgment. Not everything should be automated. Not everything should be agentic. The magic is knowing what belongs where.We’re hiring multiple AI Product Builders across levels to help shape that layer. You might be a Senior Product Manager who has shipped AI products to real users, or an early-career builder with unusually strong AI instincts and a track record of making things. Either way, we care about whether you can turn ambitious, occasionally chaotic AI ideas into product experiences that users can trust, understand, and build with.You’ll own one focused AI workstream. Depending on your level, you may lead it independently or work alongside a senior PM who acts as your primary mentor. In both cases, you’ll be close to users, close to the technology, and close to the future of AI products.We move quickly, care deeply about craft, and are still early enough that strong product judgment can meaningfully shape the direction of the platform. You’ll be front and center of n8n’s rocketship, collaborating closely with Engineering, Design, Data, Product Marketing, DevRel, Community, Support, and Customer Success.This is not an ML platform or research role. We’re looking for people who have built with AI deeply: whether through production products, serious prototypes, public projects, agent workflows, evals, or tools real users have touched.Where you might focusAI Trust*Make AI on n8n trustworthy.This workstream focuses on evals, observability, traces, guardrails, reliability, latency, cost, debugging, and human-in-the-loop patterns — the layer that turns “AI works in demos” into “AI works in production.”Mission: raise the floor on AI quality across the platform and make AI behavior inspectable.AI Building / Super Agent*Make n8n itself an AI-first product.This workstream focuses on Super Agent, custom memory, Skills, computer and browser use, files, chat-first building, and proactive suggestions — the product-as-AI angle where AI builds with the user, not just for the user.Mission: shift a meaningful share of n8n usage to AI-native surfaces.🚀 If this sounds like the kind of ambiguity you like turning into product, hit apply.*A quick note, because this is AI and the plot moves fast: the workstreams below reflect where we’re headed today. By the time you join, some details may have evolved. Think of them as a useful snapshot of the problems we care about, not a legally binding prophecy.RequirementsWe’re open to different experience levels, but the bar on AI depth, product taste, and builder energy is high.Must-haves🧱 Builder track record: you’ve made things with AI, not just described them. This could mean shipped products, serious prototypes, public projects, agent workflows, eval suites, or tools used by real people.🤖 AI-native by default: you use tools like Claude Code, Cursor, Lovable, n8n, or similar regularly, and you follow the AI product space closely.🧪 Eval practice: you’ve built or meaningfully shaped evals, not just talked about them.🛠️ Harness literacy: you understand tool loops, planners, scaffolding, context management, and the practical constraints of agentic systems.🎯 Strong product instincts: you think clearly about trade-offs, user value, product quality, and what should or should not be built.🎨 UX taste: you know what good looks like and what beautiful UX feels like. You can explain why one product feels great and another feels off.🧭 Comfort with ambiguity: you bring order to chaos, structure fuzzy problems, and make progress when there are dozens of possible directions.📝 Clear communication: you write clearly, reason from first principles, and can bring others along.For more senior candidates, we’ll also look for🚀 Shipped AI in production: real LLM or agent features, real users, real failures you learned from.🎯 0-to-1 product ownership: you’ve owned ambiguous product areas from problem discovery through launch and iteration.📊 Data fluency: SQL, funnels, product metrics, and healthy skepticism of what metrics do and do not tell you.🤝 Influence without authority: you can align engineering, design, data, and go-to-market teams around complex product decisions.For earlier-career candidates, we’ll especially value⚡ High slope: you learn fast, ship fast, and raise the quality bar quickly.🪶 Low PM baggage: you’re not overly attached to how PM “should” be done.🔬 Deep AI tinkering: you’ve built or seriously experimented with non-trivial AI projects, even if they were solo or side projects.👀 Visible building: public demos, writing, talks, open-source work, or other proof that you learn by making.Nice-to-haves🔌 Workflow automation, orchestration, or developer tooling background.🌐 Open-source and community experience.🌱 Founding or early-stage background.💻 Coding background.📈 Growth experimentation experience.✍️ Public writing, talks, or visible building.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 20 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan with a 4% employer match.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.The roleAs a Senior Deployment Engineer, AI Agents, you're the technical layer inside our deployment pods. You're embedded with accounts where the complexity goes beyond what a generalist deployment manager can unblock alone - integration failures, automation logic that won't behave, helpdesk configurations that need an engineer's eye. You're not a pure customer-facing role and you're not a pure internal engineering role. You're the bridge.You're energised by hard technical problems inside a customer context - and you know that fixing one well scales to ten accounts.Who you are5+ years in technical implementation, integration engineering, or software engineering with a customer-facing componentStrong working knowledge of helpdesk and CX platforms - Zendesk, Gorgias, or similar - including API integrations, webhooks, and automation logicYou can read a customer's technical setup, identify what's broken or misconfigured, and drive a fix without needing to escalate every timeAI-fluency - you understand how LLM-powered agents work in practice, not just in theory; you can configure, test, and iterate on agent behaviourYou're comfortable in customer meetings when the conversation gets technical - you can explain what you're seeing without jargon and without losing the roomShopify, e-commerce platform integrations, and REST APIs are familiar territoryRemoteWhat you'll doEmbed with strategic accounts as the technical member of the deployment pod - alongside a Deployment Manager and/or Forward Deployed PMDiagnose and resolve technical blockers: integration failures, Zendesk configuration issues, automation logic gaps, data sync problemsBuild account-specific automations and integrations that aren't yet supported out of the boxOwn the technical setup of new accounts during onboarding - integrations live, data flowing, first automations configuredSurface patterns across accounts to the engineering and product teams: recurring technical issues that should become platform features rather than one-off fixesContribute to shared technical documentation and deployment playbooks that reduce ramp time for every future accountParticipate in technical scoping during late-stage sales - help the team understand what's realistic before contracts are signedWhy Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward. Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.We use AI-assisted screening tools as part of our hiring process. All decisions are made by humans. You can request a human-only review at talent@siena.cx.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.   Overview As a Forward Deployment Engineer, you'll be the technical face of our company for customers from day one. You'll sit at the intersection of engineering and customer success — deeply understanding our AI/ML platform and ensuring customers integrate it successfully into their existing workflows. This is a high-impact, high-visibility role where your work directly shapes customer outcomes and informs our product roadmap.   What You’ll Do Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution Collaborate closely with product and engineering to surface customer feedback and influence the roadmap Develop reusable onboarding playbooks and internal tooling to scale the deployment process Travel to customer sites occasionally for critical onboarding milestones or technical workshops   An ideal candidate should have 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code Experience with REST APIs, webhooks, and common integration patterns Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology Nice-to-Have: Prior experience at an AI/ML or developer tools company Familiarity with LLMs, vector databases, or ML model deployment Experience with enterprise software environments (SSO, VPCs, data residency requirements) Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services) Why This Role Direct influence on product direction — your customer insights will shape what we build High ownership from day one with a clear path to senior or team lead roles Competitive salary, equity, and benefits Collaborative, low-ego team that values craft and customer obsession   Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role  As a modeling lead for the AI lab, you will be responsible for defining the technical roadmap for the team and supporting the modeling needs across the organization. You’ll be expected to define and establish best practices to manage the model life cycle, from data acquisition to deployment, and to build the tools and platforms to facilitate building and deploying ML models on different devices with specific constraints. You’ll work closely with different teams across the organization to support their modeling needs, translating high level user needs to specific modeling requirements, creating plans and technically driving the team to execute on those.  What You Might Do Define and drive the AI Lab technical strategy in support of HP’s AI roadmap, owning decisions across models, runtimes, inference engines, and optimization. Lead on device AI strategy, including model compression, quantization, distillation, and hardware aware optimization across CPUs, GPUs, NPUs, and TPUs. Architect and evolve tooling and platforms that support the full model lifecycle from data and training through evaluation, deployment, and monitoring. Establish standards and evaluation frameworks to ensure high quality, safe, and performant Gen AI models in production. Partner closely with cross functional leaders and teams to align technical direction with product and hardware strategy. Mentor a small group of senior engineers while operating as a hands on technical leader who sets direction and moves quickly. Essential Qualifications 12+ years of experience in AI modeling, applied Machine Learning, or large scale ML systems, with demonstrated ownership of technical strategy. Deep expertise in training and fine tuning LLMs or LMMs, and applying state of the art generative AI techniques. Strong systems background with experience in inference engines, model runtimes, and performance optimization on heterogeneous hardware. Proven track record of delivering optimized, production grade AI solutions, including on device deployments. Excellent software engineering skills in Python and or C++, with experience building scalable ML systems. Strong communicator and technical leader with experience influencing across teams; background at companies such as Nvidia, Google, Intel, or Qualcomm is a plus. Salary Range:  $200,000 - $340,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.   Overview As a Forward Deployment Engineer, you'll be the technical face of our company for customers from day one. You'll sit at the intersection of engineering and customer success — deeply understanding our AI/ML platform and ensuring customers integrate it successfully into their existing workflows. This is a high-impact, high-visibility role where your work directly shapes customer outcomes and informs our product roadmap.   What You’ll Do Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution Collaborate closely with product and engineering to surface customer feedback and influence the roadmap Develop reusable onboarding playbooks and internal tooling to scale the deployment process Travel to customer sites occasionally for critical onboarding milestones or technical workshops   An ideal candidate should have 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code Experience with REST APIs, webhooks, and common integration patterns Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology Nice-to-Have: Prior experience at an AI/ML or developer tools company Familiarity with LLMs, vector databases, or ML model deployment Experience with enterprise software environments (SSO, VPCs, data residency requirements) Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services) Why This Role Direct influence on product direction — your customer insights will shape what we build High ownership from day one with a clear path to senior or team lead roles Competitive salary, equity, and benefits Collaborative, low-ego team that values craft and customer obsession   Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.   Overview As a Forward Deployment Engineer, you'll be the technical face of our company for customers from day one. You'll sit at the intersection of engineering and customer success — deeply understanding our AI/ML platform and ensuring customers integrate it successfully into their existing workflows. This is a high-impact, high-visibility role where your work directly shapes customer outcomes and informs our product roadmap.   What You’ll Do Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution Collaborate closely with product and engineering to surface customer feedback and influence the roadmap Develop reusable onboarding playbooks and internal tooling to scale the deployment process Travel to customer sites occasionally for critical onboarding milestones or technical workshops   An ideal candidate should have 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code Experience with REST APIs, webhooks, and common integration patterns Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology Nice-to-Have: Prior experience at an AI/ML or developer tools company Familiarity with LLMs, vector databases, or ML model deployment Experience with enterprise software environments (SSO, VPCs, data residency requirements) Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services) Why This Role Direct influence on product direction — your customer insights will shape what we build High ownership from day one with a clear path to senior or team lead roles Competitive salary, equity, and benefits Collaborative, low-ego team that values craft and customer obsession   Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.   Overview As a Forward Deployment Engineer, you'll be the technical face of our company for customers from day one. You'll sit at the intersection of engineering and customer success — deeply understanding our AI/ML platform and ensuring customers integrate it successfully into their existing workflows. This is a high-impact, high-visibility role where your work directly shapes customer outcomes and informs our product roadmap.   What You’ll Do Own the end-to-end technical onboarding experience for new enterprise customers, from kickoff through successful integration Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value Serve as the primary technical point of contact during the onboarding phase, translating customer requirements into actionable engineering solutions Diagnose integration issues across customer environments (APIs, data pipelines, cloud infrastructure) and drive them to resolution Collaborate closely with product and engineering to surface customer feedback and influence the roadmap Develop reusable onboarding playbooks and internal tooling to scale the deployment process Travel to customer sites occasionally for critical onboarding milestones or technical workshops   An ideal candidate should have 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code Experience with REST APIs, webhooks, and common integration patterns Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology Nice-to-Have: Prior experience at an AI/ML or developer tools company Familiarity with LLMs, vector databases, or ML model deployment Experience with enterprise software environments (SSO, VPCs, data residency requirements) Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services) Why This Role Direct influence on product direction — your customer insights will shape what we build High ownership from day one with a clear path to senior or team lead roles Competitive salary, equity, and benefits Collaborative, low-ego team that values craft and customer obsession   Engineering at Speechify is exciting for a few reasons We provide an opportunity to not only increase your knowledge, but ours as well. We strongly believe is sustainable growth. As a startup, we put our customers and employees first. Our company vision allows for a lot of creative exploration. What does a future where people consume all information through audio look like? How do we create this future? We have life changing product market fit. Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product. We move very quickly We run many experiments and ship product updates multiple times every week. We are focused on customers We start from concrete user problems and build systems that solve them We value deep thinking We get to the right answers through careful thought and experimentation and love digging deeper into the details. What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe’re hiring a Senior Software Engineer, New Verticals to build new products and capabilities for the legal industry from first principles.This is a deeply technical, end-to-end engineering role for someone who is excited to own ambiguous, high-leverage problems across the full stack. You will work on greenfield and early-stage product areas that span user-facing applications, backend services, data systems, document and knowledge pipelines, and agentic workflows. Depending on the problem, that may mean building production frontend experiences, designing APIs and services, modeling data, standing up ETL pipelines, improving retrieval and evaluation loops, orchestrating long-running agents, or shipping platform capabilities that make entirely new solution categories possible.You will partner closely with customers, product, design, and other engineers to understand complex legal workflows and translate them into robust, scalable software. The goal is not just to deliver custom solutions, but to identify repeatable patterns and turn them into durable product and platform capabilities that can define new verticals for Harvey.This role is hybrid, based in New York, NY and offers relocation assistance.How You Will Make a 10x ImpactHigh Beta: You understand that ambiguity and volatility are part of building new products. You can move from undefined problem spaces to concrete technical plans, test assumptions quickly, and adjust without attachment when the evidence changes.Customer-Driven Engineering: You ground technical decisions in real user problems. You are excited to work directly with customers and internal partners, understand complex workflows in detail, and build systems that solve practical, high-value problems in production.Relentless Builder Mentality: You have a strong bias toward shipping. You know how to balance speed and rigor, and you are comfortable building the first version, learning from usage, and then improving architecture, reliability, and scale over time.Strong Technical Judgment: You can navigate tradeoffs across product, infrastructure, and data. You know when to invest in abstractions, when to keep things simple, and how to make systems that are both pragmatic in the short term and durable in the long term.What You'll DoDesign and build production systems end-to-end across frontend applications, backend services, APIs, data models, and developer tooling.Develop new vertical product capabilities involving document ingestion, workflow orchestration, retrieval, structured outputs, agent frameworks, and human-in-the-loop review flows.Build and operate data-intensive systems, including ETL pipelines, analytical data models, serving layers, and interfaces for querying and exploring large datasets.Work across a modern technical stack that may include Python, TypeScript, SQL, cloud infrastructure, agent orchestration engines, data processing platforms, and analytical databases.Define service boundaries, schema design, and system architecture for new product areas with an emphasis on reliability, extensibility, and speed of iteration.Ship customer-facing features quickly, then harden them for scale through observability, testing, performance tuning, and operational excellence.Partner directly with customers and internal stakeholders to understand domain-specific workflows, map requirements into technical designs, and iterate rapidly on real usage.Build evaluation, monitoring, and feedback systems that measure product quality in production and inform engineering and model decisions.Contribute reusable platform patterns, abstractions, and internal tools so successful solutions can scale across customers and verticals.Help drive technical direction in ambiguous spaces, making strong engineering decisions with incomplete information and a high degree of ownership.What You Have8+ years of experience building and operating production software, with meaningful ownership of systems from initial concept through launch and iteration.Strong engineering fundamentals across backend systems, APIs, data modeling, and exposure to at least one modern frontend stack.Experience building full-stack products, not just isolated services or UI layers.Experience working with data pipelines, analytical systems, or document-heavy workflows, including schema design, ETL, query performance, and data reliability.Experience building AI-powered or workflow-driven applications, such as retrieval systems, agentic workflows, orchestration layers, evaluation pipelines, or structured generation systems.Comfort working across a broad technical surface area, including application code, infrastructure, databases, observability, and internal tooling.Ability to debug and improve complex production systems using logs, metrics, traces, dashboards, and strong engineering intuition.Strong product sense and the ability to translate ambiguous business or user needs into thoughtful technical designs.Comfort partnering directly with customers and cross-functional teams to scope problems, validate solutions, and drive adoption.Clear, concise communication, a low-ego working style, and enthusiasm for collaborating in person with teammates in New York.Compensation Range$260,000-$310,000 USD#LI-SB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!The RoleOpusClip is pushing the boundaries of what AI-generated video can look like — and we need someone with the taste and the systems thinking to help us get there. We are seeking a creative AI Artist who operates at the intersection of visual craft, generative AI, and scalable workflow design. This is not a role for someone who just prompts and ships. This is a role for a builder who obsesses over the final frame, catches what the AI missed, and turns great creative instinct into repeatable systems.The MandateRaise the Bar on AI Output: Work closely with the AI team to refine AI-generated video assets, story structure, and motion flow. You are the last line of defense between "fine" and "great."Engineer the Prompt: Develop prompts and workflows that systematically improve output quality — not one-offs, but frameworks that scale.Codify Creative Taste: Translate your design instincts into scalable creative systems that the broader team and our AI can learn from and build on.Stay on the Frontier: Experiment with emerging AI tools and turn them into compelling video experiences before anyone else does.The ProfileThe Prompt Architect: You have deep expertise with generative models and know how to get them to do exactly what you want — and how to work around what they can't do yet.The Trained Eye: You have excellent visual and motion design taste. You notice the six fingers, the mismatched lighting, the object that disappears mid-frame — and you fix it.The Systems Thinker: You don't just create — you build processes. You think in templates, frameworks, and workflows that others can pick up and run with.The AI-Native Storyteller: You understand that great video isn't just great frames. You think in narrative arcs, pacing, character, and flow — and you bring that thinking to everything you generate.Nice to HavesStrong background in product design, visual design, or motion graphicsExperience building node-based workflows in ComfyUI, Fal, or similar toolsPrior work in video, film, advertising, or game productionYou Should NOT Apply IfYou don't scrutinize your own AI-generated output for quality issuesYou think prompting and producing are the same thingYou prefer to work from a defined brief rather than build the system yourselfYou aren't genuinely excited about where AI video is headedWhat We OfferCompetitive salary, stock options, and performance-based bonusesComprehensive medical, dental, and vision coverageH-1B, TN visa, and green card sponsorshipA high-velocity, innovation-driven culture with real opportunities for growthLocation On-site — Mountain View, CAEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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AI Systems Engineer - Codex Core Agents About The Team The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior. This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex. About The Role We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements. What You’ll DoDesign and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.Work closely with research to make the harness trainable, measurable, and useful for improving frontier agentic models.Build shared primitives that make Codex faster, safer, more reliable, and easier for other teams and open-source users to build on. You Might Be A Good Fit If YouHave built or operated production systems in distributed systems, infrastructure, developer tooling, sandboxing, virtualization, cloud platforms, or ML systems.Enjoy working across layers: Rust systems code, Python configuration layers, APIs, agent orchestration, evals, logs/traces, inference behavior, runtime constraints, and user outcomes.Have hands-on experience with LLM applications, coding agents, evals, model deployment, inference, compiler/runtime performance, or developer platforms.Care deeply about reliability, safety, performance, debuggability, and clean abstractions.Can debug from evidence and move quickly from ambiguous production failures to practical, durable fixes.Want to work close to research while still shipping changes to productionStill write meaningful code, show strong ownership, and can lead scoped or multi-team AI systems work. Bonus PointsDeep Rust, systems, sandboxing, isolation, or low-level platform experience.Experience with coding agents, agent harnesses, tool-using LLM systems, model evals, or post-training feedback loops.Background in compilers, kernels, runtimes, inference optimization, GPU systems, benchmarking, profiling, or performance engineering.Experience building production infrastructure used by many engineers or users under demanding reliability and security constraints.Open-source infrastructure or developer-platform work with strong taste for APIs and usability.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our AI Deployment Engineers in Korea, you’ll help technology and software companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the roleWe are seeking an AI Deployment Engineering leader to ensure the technical success of our most strategic technology and software customers in Korea. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology.This role is based in our Seoul office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Own the strategy and operating model of the AI Deployment Engineering team in Korea, ensuring alignment with company objectives and the evolving needs of our customers.Lead, build, and mentor a team of high-performing AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption.Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps.Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders.Serve as an industry thought leader, championing the safe and innovative application of our technology across various sectors.You’ll thrive in this role if you:Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations.Have 4+ years of experience leading technical post-sales teams with a demonstrated ability to hire, develop, and manage technical teams.Have led complex implementations of technical solutions (preferably Generative AI/traditional ML related) and have knowledge of network/cloud architecture.Are an effective and polished communicator who can translate business and technical topics to all audiences and mentor others to do the same.Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Solutions Architect, Digital Natives (OpenAI OpCo, LLC; San Francisco, CA): Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.Telecommuting permitted from within the U.S.Minimum requirements: Bachelor’s degree or foreign equivalent in Data Science, Computational Mathematics, or related field, plus five (5) years of experience as a Solutions Architect, Data Science Consultant, Software Engineer, or related occupation.Must have experience with the following:Building GenAI prototypes, proofs of concept, and demos for large multinational corporations;Python, JavaScript, TypeScript, Node.js, React, Github;AI application development: RAG, evals, multi-agent systems, orchestration, and caching;Deploying solutions on AWS, GCP, Azure, containers and Docker, and serverless;Networking basics around bastions and VPCs;Observability tooling: Datadog and Humio; andEnterprise security, privacy, and compliance: SOC 2, PII handling, and DLP.Salary: $175,000 - $240,000 per year About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Senior AI Engineer – RAG Systems Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation. Our AI platform processes visual, spatial, and temporal data from billions of real-world events—captured across edge devices, mobile sensors, and cloud infrastructure—to enable intelligent decision-making at scale. We are now hiring a Senior AI Engineer – LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge sources. This role is pivotal to building next-generation intelligent assistants that help technicians and operators troubleshoot complex issues in industrial settings. You’ll work at the intersection of NLP, foundational models, and real-time information systems—developing intelligent tools that turn manuals, technician notes, and sensor data into actionable, conversational guidance for the physical world. Responsibilities Lead the architecture and development of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources. Develop AI-powered assistants to support technicians in diagnosing and resolving anomalies or failures in factory, plant, or industrial settings. Build pipelines to ingest, preprocess, and index large corpora of documents (manuals, logs, notes, procedures) for semantic search and grounding. Customize and fine-tune foundational models to incorporate domain-specific language, tone, and logic for industrial troubleshooting scenarios. Collaborate with product, data, and cloud teams to design scalable, privacy-compliant, and latency-sensitive LLM applications. Design evaluation strategies to measure performance, accuracy, and user experience of RAG-enabled systems in production settings. Stay up to date with the latest advances in LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques into the product roadmap. Educational Background M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field, with specialization in NLP or deep learning. Strong research or applied background in large language models (LLMs) and retrieval-augmented generation (RAG) systems. Agentic RAG experience is highly desirable. Required Skills & Expertise 5+ years of experience in machine learning or AI with a strong focus on NLP, LLMs, or conversational AI. Fluency with modern LLMs and open-source foundational models (e.g., LLAMA, Falcon, Mistral, GPT, Claude). Experience building RAG pipelines with tools like LangChain, LlamaIndex, or custom vector database integrations, with at least one production grade system was built. Fluency with prompt engineering, instruction tuning, or fine-tuning open-source models. Deep understanding of document retrieval (semantic search, embedding generation, similarity metrics) and vector stores (e.g., FAISS, Weaviate, Pinecone). Strong foundation in core machine learning techniques, including experience with reinforcement learning (RL) or decision-making models. Proficiency with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar.  Strong Python programming is a must. Experience integrating AI systems into real-world applications with user-facing interfaces and operational constraints. Excellent problem-solving and critical thinking skills; ability to design solutions for complex, ambiguous problems. Strong written and verbal communication skills, with ability to collaborate cross-functionally with engineers, product managers, and domain experts. Bonus Qualifications Experience applying LLMs in industrial or physical infrastructure settings (e.g., manufacturing, logistics, utilities, energy). Knowledge of industrial control systems, maintenance workflows, or technician support processes. Exposure to multimodal models or integrating textual data with sensor and/or time-series data. Prior experience in a startup or a fast-paced environment building LLM-powered products from the ground up.