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

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

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

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

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Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans — including many of the top 20 and representing more than 270 million lives — Machinify brings together a fully configurable, content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. The Role We're building production-grade agentic systems that audit medical claims end-to-end — reading raw medical records, reasoning over coding and clinical guidelines, and producing defensible findings that hold up to clinical and regulatory review. Reaching human-expert accuracy on noisy, long-context documents is one of the hardest unsolved problems in applied AI, and the field is moving weekly. We're hiring an L4 AI Engineer who can step into an ambiguous problem, design an agent system from scratch, and ship it. You won't be plugging into someone else's architecture — you'll be deciding what the architecture should be. What You'll Do - Design agent systems from first principles. Decide the loop, the tools, the context strategy, the evaluation harness. Choose between single-agent and multi-agent topologies, between LLM reasoning and deterministic post-passes, between retrieval and direct context loading — and defend the choice with data. - Engineer the context. The hardest part of building a good agent is what goes into the prompt and what comes out. You'll obsess over context windows, tool surfaces, structured outputs, citation grounding, and the prompt itself. - Drive evaluation rigor. Build evals before you build the agent. Diagnose where it fails, fix the root cause, and prove the fix moved the metric. - Use AI tooling like a power user. A meaningful fraction of your day will be spent driving Claude Code, Codex, and similar tools to plan, scaffold, refactor, and debug your own work. We expect you to be faster with these tools than most engineers are without them. - Become a domain expert. Healthcare claims, coding guidelines, and the medical record itself are unavoidable parts of the job. Strong engineers who lean into the domain become outsized contributors here. What We're Looking For Required - 2–4 years of applied ML / AI engineering experience with a Bachelor's in CS, Math, Engineering or equivalent — or a Master's in a similar program with no prior industry experience required. Either way, at least one production-quality system (industry, research, or substantial open-source) you owned end-to-end. - Strong Python engineering. Clean abstractions, type discipline, async, tested code. - Deep, hands-on understanding of agent loops — how a model decides to call a tool, how a tool result re-enters context, how loops terminate, where they fail. - Hands-on experience with at least one major agent SDK — OpenAI Agents SDK, Anthropic SDK / claude-agent-sdk, LangGraph, or equivalent — and an opinion on the tradeoffs. - Working knowledge of how modern coding agents are built and how they engineer context — what goes in the system prompt, how files are read and edited, how long-running tasks are planned and tracked, where they break. - Fluency with Claude Code / Codex as a power user. You should be able to brainstorm, plan, and execute non-trivial engineering tasks with these tools — including reading their source when needed to understand or extend behavior. - Solid command of VS Code and git — branches, rebases, worktrees, conflict resolution, PR workflows. Not optional. - A bias toward measurement: you don't ship without an eval, and you don't believe a number you can't reproduce. Strongly preferred - Experience designing structured outputs (Pydantic / JSON Schema) and tool interfaces that LLMs reliably call correctly. - Familiarity with reasoning models (o-series, Claude extended thinking, Gemini thinking) and a sense of when they earn their cost. - Prior work on long-context, citation-grounded systems where the model must point to evidence, not just answer. - Healthcare, legal, finance, or any other domain where "mostly right" is unacceptable. Nice to have - Document understanding (OCR, layout-aware models, table extraction). - Vision-language models, multimodal retrieval. - Production experience with caching, observability, and cost control on LLM workloads. What We Offer  Work from anywhere in the US! Machinify is digital-first. Top Medical/Dental/Vision offerings FSA/HSA Tuition reimbursement Competitive salary, 401(k) with company match Unlimited PTO Additional health and wellness benefits and perks Flexible and trusting environment where you’ll feel empowered to do your best work  The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $130k-$180k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.Equal Employment Opportunity at Machinify   We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

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Help Build the Future of Healthcare AI Infinitus is AI communications in service of patients.Healthcare is inherently complex and siloed. We’re pioneering agentic communications to connect the entire system — any stakeholder, any channel, inbound and out. The result is intelligent care that reduces patient anxiety, increases speed to treatment, and enables teams to scale impact without stretching resources.Our system combines industry-leading safety guardrails with the largest dynamic knowledge graph built on millions of real-world interactions. It’s why 44% of the healthcare Fortune 50 trusts Infinitus to turn fragmented touchpoints into seamless care for better patient outcomes.The MissionAt Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. We’ve automated over 7 million calls and 100M+ minutes of conversation — saving millions of hours for patients and providers.Backed by over $100M from top investors including Google Ventures, Kleiner Perkins, Andreessen Horowitz, and Coatue, we’re a team that challenges the status quo and moves fast at the intersection of AI and healthcare. Infinitus was recently named to Fast Company's World's Most Innovative Companies and Business Insider’s top startups in healthcare.Your RoleWe are looking for a Backend Software Engineer to help us design, build, and scale the core of our digital health platform. You’ll work on expanding the capabilities of Eva, our AI-powered health assistant, and build systems that automate and simplify healthcare administration at scale. This role blends hands-on backend development with opportunities to influence technical direction and mentor teammates.Your ImpactDesign, build, and scale AI-powered, user-facing products that make Eva’s healthcare interactions more intelligent, intuitive, and reliable.Lead the end-to-end delivery of complex full-stack product experiences, from frontend architecture and backend services to APIs, data integrations, and production workflows.Partner closely with Product, Design, Data Science, Infrastructure, and other engineering teams to bring AI capabilities into real user workflows in a practical, scalable, and measurable way.Translate ambiguous product and AI opportunities into clear technical plans, balancing speed, user experience, reliability, safety, and long-term maintainability.Build robust systems that connect application logic, data pipelines, model outputs, and human-centered product experiences.Evaluate and integrate AI technologies, including LLM-enabled workflows, retrieval systems, classification, summarization, automation, and decision-support experiences where appropriate.Establish strong frontend and backend engineering standards, including component architecture, API design, system reliability, observability, testing, and development best practices.Make high-quality technical tradeoffs across product impact, engineering complexity, scalability, and long-term platform health.Drive cross-team and cross-org alignment to ship high-impact work, influencing through technical clarity, judgment, and collaboration rather than authority.Mentor and grow engineers across the team, raising the bar for technical execution, product thinking, and engineering culture.Contribute to both short- and long-term technical roadmaps, especially around AI-enabled product development, platform scalability, and full-stack architecture.Help shape how Eva responsibly applies AI in healthcare workflows, with a focus on usefulness, trust, reliability, and excellent user experience.Your Skillset 8+ years of practical full-stack engineering experienceA track record of leading the design and delivery of complex consumer or B2B user-facing products across the full stack.Deep expertise in modern frontend and backend development, with strong proficiency in technologies such as React, TypeScript, Python, Go, Java, C++, or similar.Strong experience designing scalable APIs, backend services, data models, integrations, and distributed systems.Hands-on experience with cloud infrastructure and modern DevOps practices, ideally across AWS, GCP, or similar environments.Solid understanding of database technologies, including SQL and NoSQL systems, with experience optimizing for performance, reliability, and scale.Practical familiarity with AI-enabled product development, such as LLM integrations, model orchestration, prompt/system design, retrieval-augmented generation, evaluation workflows, or AI-assisted automation.Strong product judgment and a user-centered approach to building solutions that are robust, scalable, trustworthy, and easy to use.Experience working in early-stage startups or similarly fast-moving, rapidly evolving environments; ideally, you have built products from 0 to 1.Ability to navigate ambiguity, define technical direction, and deliver high-quality products in fast-paced environments.Demonstrated success driving cross-team or cross-org alignment to get impactful work shipped.Experience establishing engineering standards, component architectures, reusable patterns, and development best practices.A strong mentorship mindset and a deep commitment to investing in the growth of peers and more junior engineers.Entrepreneurial mindset: you take initiative, operate with ownership, and drive projects from concept through production impact.Nice to HaveExperience building AI-powered products in healthcare, fintech, enterprise SaaS, or other high-trust domains.Experience with evaluation, monitoring, and reliability practices for AI systems in production.Familiarity with healthcare data, clinical workflows, privacy-sensitive systems, or regulated environments.Experience building internal platforms or tooling that accelerate AI product development across engineering teams.Why You’ll Love It HerePlease Note: the following benefits are for salaried employeesHybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)Competitive salary, equity, and 401(k)Wellness stipend & great benefits (medical, dental, vision)Generous PTO & parental leaveBi-annual offsites & a collaborative, mission-driven culture What to Expect in the Interview ProcessApply & meet our recruiting teamVirtual interviews to showcase your skillsFinal onsite loop to meet the team and get to know us betterChat with our CEO Curious to Learn More?Read our Blog to hear from Infinauts about what we’re buildingDiscover how our company values (CODES) guide usFollow our CEO, Ankit Jain, for industry updates We’re building AI agents that tackle healthcare’s toughest problems and open new possibilities. Ready to join us? Let’s talk!​​Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

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About FluidstackAt Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world’s biggest AI Labs at industry-defining speeds.Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here. There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.The RoleWe are hiring Product Engineers to work on Fluidstack’s AI-integrated software stack that enables us to build capacity faster than anyone in the industry.You will own features at every layer of the stack from concept to outcome, no handoffs, no ticket implementation. You will identify problems, design solutions, build, ship, and measure success.Fluidstack is flat. No middle management. Nothing in the way of shipping. Our engineers hold the highest levels of ownership in the industry. You won’t escalate, you’ll ship. You won’t ask for approval, you’ll just do things. You’ll be operating infrastructure worth billions of dollars on a timeline measured in months.You have one goal: build the infrastructure that reduces time to compute. What You Will BuildSupply chain automation: Interfaces where ordering 10,000 GPUs and all supporting components feels like opening a GitHub pull request.Capacity forecasting and scheduling: systems that model build timelines, predict bottlenecks, and drive schedules across dozens of concurrent projectsInternal AI infrastructure: shared agent frameworks, skill libraries, and integrations with the platforms the company runs on, including project management, source control, construction software, messaging, CRM, and internal APIs, so every team at Fluidstack can build with AI, not just engineersOperational automation: workflow orchestration and self-service tooling that eliminates manual toil across operations and engineeringDatacenter design & validation: Applications that generate, simulate, and validate AI infrastructure layouts, power topologies, and cooling configurations. What We’re Looking For5+ years of software engineering experience shipping production code in Go, Python, or TypeScript, and the ability to work in any language, primarily using AI coding tools to move fast.Hands-on experience building with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and working with agentic frameworks.Deep fluency with AI coding tools including Claude Code, Cursor, etc. and the ability to get agents to work autonomously alongside you.Proven ability to work with high autonomy: identifying problems, designing solutions, and shipping results with minimal direction. You are a barrel, not a passenger.Strong systems thinking to balance rapid iteration with building foundations others can extend.Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoptionGreat product and design taste: as the barrier to building gets lower, taste matters more Compensation & BenefitsOur cash compensation range for this role is $150,000-$275,000. Final offers may vary from the amount listed based on geography, candidate experience and expertise, relevant licenses/credentials, and other factors. We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.To provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.Benefits:Competitive total compensation package (cash + equity)Health, dental, and vision insuranceRetirement planGenerous PTO policyWe are committed to pay equity and transparency.We are committed to pay equity and transparency.Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.What You'll DoScale document ingestion and processing that is growing at 10x every 6 monthsDesign massive data collection from over 50+ legal jurisdictionsBuild government-level security for top governments and firmsLead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences.Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems.Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.What You Have7+ YoE (post-BS/MS) in a product focused full-stack software engineering role.Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.Track record of building fast-growing SaaS products.Track record of shipping highly intuitive products, strong attention to detail.Experience building scalable and extensible solutions across the stack that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.Compensation$231,000 - $314,350 USDDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-NG1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.What You'll DoScale document ingestion and processing that is growing at 10x every 6 monthsDesign massive data collection from over 50+ legal jurisdictionsBuild government-level security for top governments and firmsLead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences.Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems.Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.What You Have7+ YoE (post-BS/MS) in a product focused full-stack software engineering role.Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.Track record of building fast-growing SaaS products.Track record of shipping highly intuitive products, strong attention to detail.Experience building scalable and extensible solutions across the stack that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.Compensation$231,000 - $314,350 USDDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-NG1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You'll DoScale document ingestion and processing that is growing at 10x every 6 monthsDesign massive data collection from over 50+ legal jurisdictionsBuild government-level security for top governments and firmsLead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences.Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems.Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend.What You Have5+ YoE (post-BS/MS) in a product focused full-stack software engineering role.Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.Track record of building fast-growing SaaS products.Track record of shipping highly intuitive products, strong attention to detail.Experience building scalable and extensible solutions across the stack that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.Compensation$193,400 - $290,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-NG1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!The RoleOpusClip is building the next generation of AI-native products — and we need someone who can keep up. We are seeking a Full-Stack AI Engineer who operates at the intersection of applied AI, product instinct, and architectural excellence. This is not a role for someone who waits for tickets. This is a role for a builder who thrives in zero-to-one environments, brings strong technical judgment to AI-generated codebases, and has the grit to ship something the world hasn't seen before.The MandateArchitect the AI-Native Codebase: Take ownership of redesigning the structure of a fast-moving, AI-generated codebase. You will bring scalability, maintainability, and long-term thinking to a system built for speed — and make it production-ready.Strong Technical Judgment: Know when to hack and when to craft. You will make smart, opinionated decisions about architecture, tooling, and trade-offs — and bring the team along with you.Build Full-Stack, End to End: Own features from front-end (React) to back-end (Node.js, Django, Python), shipping prototypes to production fast and with quality to follow.Applied AI Engineering: Work hands-on with LLMs, AI agents, tool calling, and memory systems to solve real product challenges — not as a side task, but as the core of what you do.Shape the Product: Collaborate with product and marketing to define what gets built. You think about users and outcomes, not just code.The ProfileThe AI Architect: You have experience working on AI-native codebases — whether you came from a product or engineering background — and you know how to bring structure to chaos.The Full-Stack Generalist: You're comfortable across the entire stack. React on the front end, Node.js or Django on the back. You don't wait for someone else to own a layer.The Zero-to-One Builder: You've shipped products from scratch, ideally as a solo developer or in a very small team. You define your own scope and thrive in ambiguity.The Gritty Competitor: You resonate with a combat spirit to win. Speed is everything, and you treat shipping like a sport. (Watch the F1 movie. You'll get it.)The AI-Native Engineer: You use Cursor and other AI coding tools fluently — but you also know their limits and when human judgment has to lead.Nice to HavesMultimodal AI Engineering (Video ML/Video AI)Background that blends product thinking with technical depthYou Should NOT Apply IfYou prefer clearly defined scope handed to youYou want to focus purely on coding without thinking about product or usersYou think vibe coding and production engineering are the same thingYou don't use AI coding tools — or can't code without themTech Stack GCP · TypeScript · Python · React · Node.js · Redis · MongoDB · Cloud Storage · LLMs . AI AgentsEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.What We Are Looking ForAs an AI Strategist, you'll lead and drive the technology solutions in Healthcare vertical and drive the GTM process with healthcare customer engagements, from first meeting to deal signed. You'll drive revenue and new logo expansion by diagnosing customer problems through an AI lens and designing data-driven, AI-enabled strategies that deliver desired outcomes and help prospective clients see the immediate value of AI adoption. As a core member of Distyl’s Healthcare GTM Team, you'll operate in 0→1 mode — rapidly building demos and proof-of-concept solutions that showcase the Distillery platform’s capabilities to prospective healthcare clients. You'll work at the intersection of business strategy and AI implementation, bridging the gap between Distyl’s technical AI tools and the business outcomes that get deals signed. Strong communication and storytelling skills are essential. You are the person in the room making the case for AI transformation. You'll also get hands-on — prototyping workflows on the Distillery platform, building demos in days not months, and collaborating with healthcare SMEs (clinicians, case managers, claims analysts) to ensure solutions address real operational pain points. This is a high-ownership role for someone who thrives at the intersection of AI strategy, analytics, and execution — and wants to build the GTM engine of an early-stage AI company from the ground up. Key ResponsibilitiesDrive the AI solutioning throughout the pre-sales process on healthcare deals — from initial discovery through deal close, you own the momentum that gets engagements across the finish lineDiagnose prospective client problems through an AI lens and identify where AI-enabled strategies can transform operations, optimize workflows, and improve outcomes at scaleResearch clients and their industry landscape to prepare materials for prospective client meetings, including use case points of view tailored to each prospectDevelop deep expertise in Distyl’s Healthcare Solutions (Utilization Management, Care Management, Cost of Care, Claims, Member/Provider Communications etc.) to identify and prioritize high-value use cases for each customerFeed insights to AEs to sharpen the pitch and differentiate Distyl’s AI-enabled offeringsConduct technical discovery after Account Executives open the door — identify the right use cases, solution architecture, and feasibilityIdentify the most valuable problems to solve. Embed yourself in the customer’s workflow to understand it better than the users themselvesWork closely with engineering to co-design solutions — you can whiteboard an architecture, debate tradeoffs in system design, and bridge the gap between what the customer needs and what the platform can deliverBuild demos and competitive positioning docs with internal stakeholders, driving rapid delivery for demos and POC scopingBuild out POC proposals — define scope, success criteria, timelines, and resource requirementsNavigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraintsBuild compelling storylines and decks that make the ROI of AI transformation concrete and undeniableCreate and maintain reusable GTM assets — demo scripts, ROI calculators, competitive positioning materials, and use-case-specific pitch decks aligned for SolutionsOwn the knowledge transfer, ensuring clean, formal handoff to the expansion teamMaintain living account documentation during the pre-sales phase Who You Are8-12 years of experience in sales engineering, solutions consulting, product management, technical growth, chief of staff, or a similar role at the intersection of business and technology, with deep, direct experience in healthcare (payer operations, provider workflows, or health tech). You understand how a prior authorization gets processed, why claims adjudication breaks, and what a medical director actually cares aboutTechnical undergraduate degree (CS, engineering, math, or similar) — you don’t just understand technical concepts, you build with them. You can write code to prototype a workflow, interrogate a dataset in Python/SQL, and speak fluently with engineers about system design and API architectureHands-on experience designing and building GenAI solutions — not just scoping them. You’ve gotten your hands dirty with LLM pipelines, prompt engineering, RAG architectures, or similar, and can prototype on a platform like Distillery without waiting for engineering to hand you a demoAbility to translate complex AI technical capabilities into specific, high-value business outcomes. You can make enterprise executives see why AI adoption matters nowStrong engineering-adjacent data skills: Write SQL, work in Python/pandas, and navigate messy enterprise datasets to pull the insights that drive deal narratives. Bonus if you’ve worked with healthcare-specific data formatsExceptional communication and storytelling skills: You can command a room, structure a pitch, build a narrative arc, and make complex AI concepts land with senior executivesDeep domain expertise in healthcare operations — you’ve lived in the workflows (UM, care management, claims, network) and understand the regulatory, clinical, and operational constraints that shape AI adoption in this space. Experience navigating NCQA, CMS guidelines, or clinical documentation requirements is a strong signal.Thrive in Ambiguity: Ability to identify critical problems in complex situations and define outcomes.High ownership and intensity — you operate like a founder, not a task-takerComfortable engaging with VP/C-level executives at Fortune 500 healthcare organizationsYou’ll develop deep fluency in Distyl’s Distillery platform, its primitives, and its capabilities — building demos and POCs directly on the platform, not just presenting what someone else builtTravel: Ability to travel 50% What We Offer The base salary range for this role is $150K – $250K , depending on experience, location, and level. In addition to base compensation, meaningful equity, along with a comprehensive benefits package100% covered medical, dental, and vision for employees and dependents401(k) with additional perks (e.g., commuter benefits, in‑office lunch)Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problemsOwnership of high‑impact projects across top enterprisesA mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellenceDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

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Location 📍: Sydney, AU, Hybrid (3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring for several Senior Software Engineers (Full-Stack / Back-End) to work across our core engineering teams in Sydney.Each team at Relevance AI is tackling a different frontier of the AI workforce — from the core agent and tool builder experience, to the conversational layer that powers real-time agentic chat, to the enterprise-grade platform capabilities that serve our largest and most demanding customers. Regardless of where you land, you'll be building systems that make AI usable, reliable, and production-ready.Our roles would be ideal for an engineer who enjoys solving deep technical problems, designing robust scalable systems, and owning complex projects end-to-end in close collaboration with product and customer-facing teams.In return, you'll receive real autonomy and trust: shipping to customers within hours, leading complex projects end-to-end, and shaping how we build as we scale. No unnecessary layers of approval — just high ownership, high impact work.Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Design, build, and operate scalable, production-grade back-end systems at the core of our platform.Own mission-critical services from ideation through to deployment and long-term maintenance.Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours.Shape engineering standards, architecture, and processes as we grow.Mentor and support engineers across the team, raising the bar for technical quality and ownership.Collaborate closely with product, design, and leadership to align technical direction with business outcomes.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: React, Vue.js, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: PostgreSQL, MongoDBCloud Infrastructure: AWS, Vercel, Terraform, KubernetesAI Coding Tools: Claude Code, Cursor, Codex and moreWhat We’re Looking For 🧠4+ years of hands-on software engineering experience (full-stack or back-end focussed), ideally within fast-paced, high-growth and complex technical environments.Experience designing and operating APIs (REST or GraphQL) and distributed systems.Passion for designing and building large scale, distributed and fault-tolerant systems for real-world users.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience building AI features leveraging LLMs, agent workflows, or AI infrastructure.Experience building enterprise features and systems — IAM, SSO, audit logs, compliance frameworks, or observability.Experience building integrations ecosystems or native third-party connectors.Contributions to open-source projects.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Location 📍: Sydney, AU, Hybrid (3 days in office required) About Us 🚀 At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us. The Role 🥳 We’re hiring for Staff Software Engineers (Full-Stack / Back-End) to work across our core engineering teams in Sydney.Each team at Relevance AI is tackling a different frontier of the AI workforce — from the core agent and tool builder experience, to the conversational layer that powers real-time agentic chat, to the enterprise-grade platform capabilities that serve our largest and most demanding customers. Regardless of where you land, you'll be building systems that make AI usable, reliable, and production-ready.Our roles would be ideal for an engineer who enjoys solving deep technical problems, designing robust scalable systems, and owning complex projects end-to-end in close collaboration with product and customer-facing teams.In return, you'll receive real autonomy and trust: shipping to customers within hours, leading complex projects end-to-end, and shaping how we build as we scale. No unnecessary layers of approval — just high ownership, high impact work.Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued. Your Impact 💥 Lead the design and implementation of complex, production-grade systems that underpin our platform at scale.Provide architectural guidance and cross-team technical leadership, ensuring consistency, reliability, and long-term maintainability.Own significant platform surface areas end-to-end — from system design through to deployment, observability, and iteration.Partner with product, go-to-market, and engineering leadership to translate customer and business requirements into clear technical strategies.Mentor and level-up engineers within and beyond your immediate team, fostering a culture of technical excellence and ownership.Shape engineering standards, processes, and best practices as we scale across the organisation. Our Tech Stack (so far) 💻 We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: React, Vue.js, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: PostgreSQL, MongoDBCloud Infrastructure: AWS, Vercel, Terraform, KubernetesAI Coding Tools: Claude Code, Cursor, Codex and more What We’re Looking For 🧠 6+ years of hands-on software engineering experience(full-stack or back-end focussed), ideally within fast-paced, high-growth and complex technical environments.Clear evidence of operating at Staff scope — driving architecture, mentoring teams, and influencing technical direction across multiple squads or projects.Strong technical foundations in cloud infrastructure and APIs (preferably AWS, Node.js, REST/GraphQL).Comfortable working with both technical and non-technical stakeholders, translating complex requirements into actionable technical strategies.Demonstrated ability to own complex, ambiguous problems end-to-end and consistently deliver high-quality, high-impact outcomes.Customer-centric mindset — you think about reliability, scalability, and the downstream effects of technical decisions on real users.Deep interest in AI and enthusiasm for building category-defining products.Actively leverages AI coding tools in your day-to-day workflow and stays current with the latest developments. Bonus Points if You Have Any Of The Following ⭐ Experience building AI features leveraging LLMs, agent workflows, or AI infrastructure.Experience building enterprise features and systems — IAM, SSO, audit logs, compliance frameworks, or observability.Experience building integrations ecosystems or native third-party connectors.Contributions to open-source projects. Why Join Us? 🌟 Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our six values: truth-seeking, be crazy optimistic, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next. Benefits ✨ 📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Forward Deployed Engineer 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 leadership Who 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 theory Why 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 BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.THE ROLE: You'll lead the Model Library team at Baseten — a small, high-ownership team focused on helping developers discover, evaluate, and select the right models for their specific use cases. This role is for a product-minded engineering manager who thrives in ambiguous, high-impact environments and can guide a team from early-stage product thinking through production-quality execution.You'll stay technically grounded while driving the team's work across model discovery, evaluation frameworks, and the infrastructure that powers a best-in-class model library experience. EXAMPLE INITIATIVES:Model APIs for frontier modelsModel training built for production inferenceIntroducing the Baseten Frontier Gateway RESPONSIBILITIES:Lead and grow a team of engineers, including hiring, mentorship, and career development.Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models.Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and communicate progress.Maintain a high technical bar through design doc reviews, code reviews, and hands-on architectural guidance.Drive product quality and reliability: define success metrics, establish feedback loops, and ensure a consistent, high-quality developer experience.Foster a culture of strong written communication, clear design thinking, and effective collaboration. REQUIREMENTS:Experience managing engineers building developer-facing products: APIs, SDKs, or developer tooling.Product intuition and technical judgment — able to balance speed, quality, and developer experience tradeoffs.Technically hands-on enough to review designs, debug issues, and earn the trust of a strong IC team.Strong written communication and cross-functional collaboration skills.Interest in AI/ML and the evolving model landscape; willingness to develop deep domain knowledge (ML expertise not required).Experience building or supporting self-serve workflows. NICE TO HAVE:Background as an IC in developer tooling, APIs, or ML infrastructure before moving into management.Experience with model evaluation, benchmarking, or comparison frameworks.Familiarity with inference platforms, LLM runtimes, or the model ecosystem (open-source and frontier).BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveFertility and family-building stipend through CarrotCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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About the Role As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives  Plan the growth of Together AI’s infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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About the Role As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives  Plan the growth of Together AI’s infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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About the Role As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Participate in on-call rotation (Pagerduty) to respond to production incidents Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives  Plan the growth of Together AI’s infrastructure Requirements 5+ years of professional AI Infra or related experience Bachelor's degree in Computer Science or a related field or equivalent work experience Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy