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Founding Engineer (US)Build the AI platform that's rewriting a $50B industrySalary range - $180-220k USD + Equity + Benefits About HaastWe're building one of the first agentic systems for enterprise legal and compliance teams that actually automates their manual work. End-to-end. Delivering 80% faster compliance reviews and 4x productivity gains.We recently closed a $12M USD Series A (Peak XV Partners, DST Global, Airtree) and are growing fast in the US; building the infrastructure that will completely re-define how enterprises think about compliance.Think Canva for design. Atlassian for projects. Haast for compliance. The ProblemCompliance is a $50B global challenge. Enterprise legal and compliance teams spend a significant amount of time manually reviewing documents against policy, spotting regulatory risk, and signing off on content before go-to-market. It's painful and it's mission-critical.We're building the infrastructure that makes this manageable at scale. You'll be working on systems that directly reduce risk and unlock productivity for some of the world's largest organisations. The RoleAs our first US based Engineer; you'll be the technical bridge between our product vision and our customers' reality. You're a full-stack engineer who thrives at the intersection of innovation and execution, building our platform while staying connected to the teams actually using it.You'll split your time between heads-down building (shipping code that matters) and being engaged with customers, understanding their pain points firsthand, iterating on features in real-time, and using that feedback to shape our product direction. You'll own end-to-end technical decisions: designing systems, shipping to production, and iterating based on direct customer interaction.This is high-autonomy work. You'll collaborate directly with our founding team, move at startup velocity, and have genuine influence over both our architecture and product roadmap.What You'll OwnDesign, architect, and ship full-stack features that directly solve our customers compliance challengesOwn the technical relationship with key customers; implementing solutions, gathering requirements, and translating feedback into product improvementsBuild scalable services and APIs that power our LLM compliance platform while keeping the customer experience front and centerMake high-impact technical decisions quickly, knowing that you'll be accountable to both our engineering standards and our customersChallenge assumptions on "why" and "how", you'll directly influence what we build and how we build itShape our product roadmap and engineering practices as we scale from Series A to market leadershipWho We're Looking ForYou've built full-stack systems at meaningful scale; you're equally comfortable architecting backend services and shipping frontend code that customers interact with dailyYou're deep on one or more of: Go, Node.js/TypeScript, or Python, and you're fluent enough across the stack to own features end-to-endYou understand APIs, distributed systems, and the tradeoffs between speed and reliability in production environmentsYou genuinely enjoy working with customers; you're not just shipping features, you want to understand the human problem you're solvingYou've shipped in fast-moving environments and understand what it takes to move quickly without breaking thingsYou're curious about how LLMs work and excited about building practical applications on top of them, not just the theoryWhy Join HaastCompetitive benefits: PTO, Health, Dental, Vision, 401k Real impact, day one: Your code runs inside the workflows of major global enterprises immediately. You're solving mission-critical compliance problems that directly reduce risk and unlock productivity. Forward-deployed influence: You'll spend time with customers, understanding their pain points and having direct input into product decisions. Your customer insights will shape our roadmap.Equity upside: We're building a generational company in a $50B market. You'll own a meaningful stake in that value creation and be part of the defines how Haast scales. We believe in sharing success with the people who build it.Exceptional learning velocity: You'll learn more about scaling systems, working with customers, building products, and navigating the demands of a fast-growing startup in 12 months here than most roles offer in three years.Engineering-driven culture: No red tape. We hire smart people and get out of their way. Your voice matters in how we build.Flexibility and community: Fully remote across the US or Canada. How to ApplyWe're looking for people who've shipped things they're proud of and want to work on a problem that genuinely matters.Apply with:Your CVA brief note on this question: Tell us about a time you worked with customers to ship something they actually needed. What did it take to achieve the outcome? No closing date. We review applications on a rolling basis. At Haast, we believe bold ideas come from diverse perspectives. We're committed to building a team that reflects the world we work in. Even if you don't tick every box, we'd love to hear from you. #LI-Remote

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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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About HappyRobotHappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.About the RoleYou’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.About the RoleDesign, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.Ensure data quality, observability, and performance across all AI systems.Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.Must HaveStrong experience in machine learning, deep learning, and NLP.Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.Proficiency in Python and familiarity with Go.Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).Ability to design ML systems for robustness, scalability, and automation.Strong coding, debugging, and data engineering skills.Passion for AI infrastructure and its real-world impact.Founder mindset: ownership, independence, and willingness to go deep.Nice to HaveExperience in speech recognition, TTS, or audio processing.Familiarity with LLMs, generative AI, or real-time inference systems.Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).Prior experience in startup environments with fast iteration cycles.Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About ElevenLabsElevenLabs is an AI research and product company transforming how we interact with technology.We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms:ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.ElevenAPI gives developers access to our leading AI audio foundational models.Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleAs a Forward Deployed Engineer Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Strategists to deploy our voice AI technology against the most challenging problems our customers face. Your mission is to synthesise disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.No two days are the same, but as a FDE Strategist you can expect to:Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.Guide customers on best practices for implementing our voice and audio AI models to maximise their effectiveness.Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.Scope out potential applications in new industries and expand our AI solutions across different sectors globally.Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.RequirementsExperience working with customers in a technical capacity. It's ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them.Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.Excellent communication and problem-solving skills, especially in terms of ability to summarise complex technical concepts and using logic in pursuing optimal solutions.A proven track record of taking ownership of complex projects and delivering results.Adaptability to work across different customer environments and technical use cases.Technical aptitude to quickly understand our voice and audio AI models and their applications.LocationAs we build out a team in the Sydney office, the successful candidate is preferred to be based within Sydney and in-office 3+ days of the week. We will also consider candidates based in Melbourne who can travel frequently to meet with customers and collaborate in person with the Sydney team.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here. You built something from nothing. Do it again, within the best frontier AI company in Europe. This is not a job description. It’s an open invitation for people who have founded, co-founded, or led a company and want to deploy Europe’s most advanced AI models inside the enterprises that need them most. We’re not asking for a perfect resume. We’re asking whether you’ve built something real, with real users, real problems, and real constraints. What you will do You join Mistral’s Solutions team. Your mission: take our models and make them indispensable for our enterprise clients. In practice: • You own a portfolio of enterprise clients. You’re their primary point of contact working as a co-builder with them • You identify the highest-impact use cases, structure the deployment, and unblock friction • You bridge the gap between what our models can do and what the client needs to solve. Sometimes it’s a prompting problem. Sometimes it’s a CEO problem. • You feed signal back to product and research. You are the eyes and ears on the ground. Two tracks, one entry point Depending on your background, you’ll be oriented toward one of two trajectories: Deployment Strategist (usually ex‑CEO/COO or a BD/Sales founder): • Focused on deployment strategy, the business case, C‑level adoption, and expanding accounts • Delivers executive workshops, adoption roadmaps, and ROI proposals Applied AI Engineer (usually an ex‑CTO, technical founder, or lead engineer) • Focused on integration architecture, fine‑tuning, RAG/agents, and production deployment • Delivers prototypes, deployment pipelines, client code, and open‑source contributions About you • You’ve founded or co-founded a company, no matter the size or sector or if it’s still running • You’ve sold a product to customers, built a team, or raised money. You know what “skin in the game” means. • You can talk to a CEO in the morning and debug a pipeline in the afternoon or at least know who to call to get it done. • You’re comfortable with ambiguity. We won’t hand you a 50-page playbook. We’ll hand you a client and an objective. • You have genuine curiosity about AI. You don’t need to have trained a model, but you need to understand what this technology is and why it changes everything. Benefits 💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gympass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕️ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship The personal data you submit as part of your application will be processed in accordance with Mistral AI's Applicant Privacy Policy.

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About UsHippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.Location RequirementWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.About the RoleAs a Senior Staff AI Engineer at Hippocratic AI, you'll define the multi-year technical strategy for voice-based generative AI in healthcare. You'll architect the foundational platforms that power our clinically safe healthcare agents across every partner and product line, operating at the intersection of large language models, real-time voice, and human-centered product design. This is one of the most senior individual contributor roles at the company. You'll set direction across multiple AI domains RAG, agent orchestration, evaluation, real-time voice, and safety partnering directly with the executive team, AI researchers, product leaders, and clinical experts, and mentoring Staff and Senior engineers across the org. From defining the architectural bets that shape the next generation of our platform to representing Hippocratic AI externally in the research and healthcare communities, your work will determine how patients and providers safely interact with generative AI at scale for years to come. We're looking for principal-level technical leaders who have already built and scaled foundational AI systems people who identify the problems others haven't seen yet, rally teams around ambitious bets, and set the technical bar for an entire organization What You'll Do:Define the multi-year technical strategy and architectural roadmap for our AI platform RAG, multi-agent systems, real-time voice, evaluation, and safety — and align leadership, engineering, and research around it.Architect foundational platforms and systems used across multiple products, teams, and partners. Make the load-bearing technical decisions that the company will build on for years.Partner directly with the executive team, product leadership, and clinical leadership to translate long-range healthcare goals into technical bets.Represent engineering in board-level, partner, and regulatory conversations. Identify and drive the zero-to-one and one-to-n bets that expand what's possible deciding not just how to solve problems, but which problems are worth solving.Own the company-wide safety and evaluation bar. Set the standards, gates, and measurement systems that every agent, every partner deployment, and every model change must clear.Grow the technical bench: mentor Staff and Senior engineers, shape hiring and leveling, and multiply the impact of every team you touch.Represent Hippocratic AI externally through publications, conference talks, partner engagements, and the broader healthcare AI community.What You BringMust Have:10+ years of professional experience in software, ML, or AI engineering.Proven track record building and shipping AI- or ML-powered products in production environments.Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains.Nice-to-Have:Experience building or deploying LLM-based or multi-agent systems at scale.Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.Prior exposure to healthcare, safety-critical domains, or regulated product development. If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. 

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About UsHippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.Location RequirementWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.About the RoleAs a Staff AI Engineer at Hippocratic AI, you'll set the technical direction for voice-based generative AI in healthcare. You'll architect the intelligent systems that power our clinically safe healthcare agents, working at the intersection of large language models, real-time voice, and human-centered product design. This is a deeply hands-on and deeply influential role. You'll own one or more core AI domains end-to-end RAG, agent orchestration, evaluation, or real-time voice partnering with AI researchers, product managers, and clinical experts, and mentoring engineers across the org. From designing the patterns other teams build on to bringing advanced language and speech models into production, your work will define how patients and providers safely interact with generative AI at scale. We're looking for senior technical leaders who are passionate about AI in the real world people who set the bar for turning cutting-edge research into robust products and shape the frontier of safe, agentic healthcare systems. What You'll Do:Architect and own production-grade AI pipelines that power our voice-based generative healthcare agents RAG, multi-step reasoning, agent orchestration, and evaluation systems making the foundational design decisions other teams build on.Lead cross-functional initiatives with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences.Represent engineering in high-stakes clinical and partner conversations.Drive zero-to-one bets using state-of-the-art LLMs, retrieval systems, and streaming architectures defining the problem, not just the solution balancing innovation with reliability.Set the standard for AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts. Own the safety and evaluation bar across model evaluation, safety testing, and observability. Define the gates every agent must clear before production.Mentor senior and mid-level engineers, raise the quality bar through code review and design review, and multiply the impact of the teams around you.What You BringMust Have:6+ years of professional experience in software, ML, or AI engineering.Proven track record building and shipping AI- or ML-powered products in production environments.Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains.Nice-to-Have:Experience building or deploying LLM-based or multi-agent systems at scale.Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.Prior exposure to healthcare, safety-critical domains, or regulated product development. If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.

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About UsHippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. About the RoleWe are seeking an Forward Deployment Engineer to operate at the intersection of AI systems, healthcare data, and real-world deployment. In this role, you will be deployed onsite at a customer location, serving as Hippocratic AI’s embedded technical presence.This is not a traditional engineering role. You will act as a builder, operator, and technicalconsultant, working directly with customers on-site to design and deploy AI systems into liveclinical workflows.You will take ambiguous, high-impact problems and turn them into production-grade AIsolutions powered by LLMs, voice systems, and interoperable data platforms. What You'll Do:Customer-Facing Problem Solving:Serve as the technical point of contact for healthcare customersTranslate ambiguous problems into scalable solutionsAI System Design & Deployment:Build and deploy AI systems, including RAG pipelines and multi-agent workflowsDevelop real-time conversational AI systemsHealthcare Data Integration:Work with HL7 v2, FHIR, REST APIs, and X12Build pipelines using Python and SQLEnd-to-End Ownership:Own full lifecycle from design to monitoringTroubleshoot production issuesCross-Functional Collaboration:Work with product, AI research, and clinical teamsLocation:This is an onsite role based in Minneapolis, MN, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions. What You BringMust Have:3+ years in software engineering, AI/ML, or data integrationStrong Python skillsExperience with AI/ML systems in productionWillingness to be deployed onsite at customer locations for extended periodsNice-to-Have:HL7, FHIR, REST APIs experienceEpic/Cerner experienceLLMs, RAG, prompt engineeringVoice AI exposureCloud + DevOps knowledge What Makes This Role Unique:Deploy AI into real healthcare environmentsOwn problems end-to-endWork directly with customers onsite as an embedded engineerImpact real patient outcomes Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About the teamThe Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.About the RoleWe are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.In this role, you will:Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.You’ll thrive in this role if you:Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.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 TeamSafety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm.The work of this research taskforce spans four pillars:Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being.Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas.System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve.Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress.About the RoleWe are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap.In this role, you willDesign and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. Create automated tools and infrastructure to scale automated red‑teaming and stress testing.Conduct research on failure modes of alignment techniques and propose improvements.Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk.Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work.You might thrive in this role if youAlready are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields.Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses.Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure.Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations.Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy.Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required).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 Cantina:Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!About the Role:As a member of the Bots team, you will design, build, and scale systems that revolutionize how users engage with our cutting-edge AI-powered platform through all interactions and integrations related to AI Powered Bots. This work includes, but is not limited to, bot chat orchestration, AI Image Generation, AI Video Generation, and the tooling associated with managing these features. This role is ideal for a self-sufficient software engineer who thrives in fast-paced environments and is passionate about delivering core product functionality with a direct impact on our platform's capabilities and user experience.What You’ll Do:Collaborate closely with cross-functional teams, including product managers, designers, and data specialists, to deliver high-quality, performant, and maintainable features.Experiment with and integrate new AI image, video, and voice generation technologies used to bring AI characters to lifeBuild tooling and infrastructure around various AI technologiesGain exposure to the architecture and operations behind one of the fastest-growing social AI products globally.Contribute your expertise to help evolve team processes and technical infrastructure, ensuring scalability and reliability.What You’ll Bring:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.8-10 years of professional software engineering experience, with expertise in backend and cloud architectures.Proficiency in Go and AWS (ECS, S3, DynamoDB, SQS); experience with event-driven architectures using Kafka and Redis, and familiarity with MongoDB and PostgreSQL.Solid understanding of domain-driven design, protobuf/Connect-RPC service patterns, and async pipeline orchestration.Experience integrating external AI/ML APIs (image generation, video generation, LLM inference, TTS/voice) is a strong plus.Strong communication skills and a collaborative, team-oriented mindset.Compensation:The anticipated annual base salary range for this role is between $230,000 - $290,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.Benefits: Competitive salary and generous company equityMedical, dental, and vision insurance – 99.99% of premiums covered by Cantina42 days of paid time off, including:15 PTO days10 sick days15 company holidays2 floating holidaysGenerous parental leave & fertility support401(k) retirement savings planLifestyle spending account – $500/month to use however you’d likeComplimentary lunch and snacks for in-office employeesOne Medical membership, and more!

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About Fractional AIHow do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences.We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe.We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai.The RoleThis role is designed for strong software engineers who want to ship AI products end-to-end across a range of domains, with meaningful ownership from day one.You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients, from requirements gathering and prototyping through system design, development, testing, and deployment. You’ll own features end-to-end, and develop domain expertise across a range of AI use cases.You'll spend most of your time in code, with meaningful client exposure – frequently interacting with the client’s team to make sure what we're building meets their needs.Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.What You BringExperience consistently shipping high visibility or high impact software, with deep care for the craft. We strongly prefer candidates with 4+ years of experience, although we understand it’s only one proxy for impact. Exceptional signals elsewhere (AI evangelism, OSS contributions, founder experience) can substitute.Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team.Our Engineering PhilosophyWe're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact.We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.How Fractional Is DifferentA typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think.Our ValuesOverdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team.Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?”LocationSan Francisco, CAWork Arrangement: 4 days in-person, Fridays remoteBenefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.📈 401k with Matching: Invest in your future with our company-matched retirement plan.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.🚑 Health FSA: Manage out-of-pocket health expenses effectively.🚌 Commuter Benefits: Make your travel to work easier and more affordable.🏥 Life Insurance: Providing peace of mind for you and your loved ones.🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.Ready to join us?

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About Fractional AIHow do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences.We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe.We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai.The RoleThis role is designed for former engineering leaders (IC or EM) or founders who are comfortable owning end-to-end technical outcomes but specifically want to continue being impactful as individual contributors and spend more time in the code.You'll work on a small, high-caliber team (2–5 engineers and a PM) building AI products for our clients. You'll set technical direction, write code, and be the person the team looks to when something is hard.You'll spend roughly 75% of your time in code and 25% working directly with clients — often their CTOs — understanding problems, walking through tradeoffs, and making sure what we’re building meets their needs.Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.What You Bring8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines.Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture.Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team.Our Engineering PhilosophyWe're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact.We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.How Fractional Is DifferentA typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think.Our ValuesOverdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team.Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.Over "engineer" the culture: For every big decision, we ask “would this make Fractional a better or worse place for our team?”LocationSan Francisco, CA New York, NYWork Arrangement: 4 days in-person, Fridays remoteBenefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.📈 401k with Matching: Invest in your future with our company-matched retirement plan.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.🚑 Health FSA: Manage out-of-pocket health expenses effectively.🚌 Commuter Benefits: Make your travel to work easier and more affordable.🏥 Life Insurance: Providing peace of mind for you and your loved ones.🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.Ready to join us?

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team.You may be a good fit if you have:8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadershipDemonstrated experience leading the architecture and design of large, highly available distributed systems with Kubernetes and GPU workloads on those clustersDeep expertise with Kubernetes dev and production coding and support, including setting team-wide standards and best practicesExtensive experience across GCP, Azure, AWS, OCI, and multi-cloud on-prem / hybrid serving environments, with the ability to guide strategic infrastructure decisionsProven ability to lead the design, deployment, support, and troubleshooting of complex Linux-based computing environments at scaleExperience owning compute/storage/network resource and cost management at an organisational level, including optimisation strategiesExceptional collaboration and communication skills, with experience mentoring engineers and leading cross-functional initiatives to build mission-critical systemsThe grit and adaptability to both solve and guide others through complex technical challenges that evolve day to dayStrong expertise in the computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), and how to leverage them to drive latency and throughput improvements at scaleDeep knowledge of distributed systems, with experience establishing patterns and practices across engineering teamsProficiency in Golang, C++ or other languages designed for high-performance scalable servers, with the ability to set coding standards and conduct senior-level technical reviewsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

false

About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

false

About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

false

About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.