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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-$200k+ 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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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-$200k+ 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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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.This role can be hybrid in our London hub. You'll report to the head of AI engineering.🦸🏻‍♀️ What you'll doArchitect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.⭐️ What you need5+ years of professional experience building and deploying machine learning or AI systems in a production environment.Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAs an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.This role can be hybrid in our San Francisco or New York City hubs. You'll report to the head of AI engineering.🦸🏻‍♀️ What you'll doArchitect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform.Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers.Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs.Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space.Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical.⭐️ What you need5+ years of professional experience building and deploying machine learning or AI systems in a production environment.Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX.A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models.Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle.Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems.Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions.You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the role We’re seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. In this role, you’ll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems. 🦸🏻‍♀️ What you'll doDesign, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management.Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.⭐️ What you need3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environmentsProficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms.Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows.Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangChain or platform-specific tooling), vector databases, and large context reasoning services.Understanding of agent orchestration patterns, state management, and asynchronous workflows.Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices.Good grasp of performance optimization, testing frameworks, and CI/CD pipelines.Excellent communication and collaboration skills, with a “connect + challenge + own” mindset.Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops.Contributions to open-source agent toolkits or SDKs.Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces.🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the role We’re seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. In this role, you’ll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems. 🦸🏻‍♀️ What you'll doDesign, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks.Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management.Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs.Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software.Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance).Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability.⭐️ What you need3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environmentsProficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms.Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows.Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangChain or platform-specific tooling), vector databases, and large context reasoning services.Understanding of agent orchestration patterns, state management, and asynchronous workflows.Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices.Good grasp of performance optimization, testing frameworks, and CI/CD pipelines.Excellent communication and collaboration skills, with a “connect + challenge + own” mindset.Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops.Contributions to open-source agent toolkits or SDKs.Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job At FieldAI, we’re building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We’re looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You’ll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors.  Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. Ensure perception software operates reliably across simulation and real-world deployments. 3. Deploy Perception Software on Real Robots Bring perception algorithms from development to deployment on physical robotic systems. Debug and resolve issues discovered during on-robot testing and field operations. Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. 4. Improve System Robustness and Scalability Contribute to code quality, testing, and long-term maintainability of perception systems. Develop tools, metrics, and tests to monitor performance and catch regressions over time. Help scale perception solutions across multiple robots, environments, and missions. 5. Collaborate Across Teams Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. Support field operations and customer demonstrations by ensuring perception systems are production-ready. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc). Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. Strong problem-solving skills and ability to operate independently in fast-moving, small teams. The Extras That Set You Apart  Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. Experience aligning or unifying perception stacks across multiple platforms or product lines. Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. 70,000 - 300,000 a year Compensation The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.    Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.  Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments.  As our Robotics Autonomy Engineer – Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI. What You’ll Get To Do 1. Develop Robust Motion Planning Algorithms Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments. Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities. Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts. 2. Advance Control and Planning Integration Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems. Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance. 3. Validate and Test Across the Stack Build and maintain testing pipelines from unit-level validation to full robot deployment. Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation. Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness. 4. Diagnose and Improve Field Performance Investigate and resolve issues arising from field deployments through structured data analysis and debugging. Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance. What You Have PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field with 2+ years of industry or applied research experience or MS degree in a related field with 4+ years of relevant experience, or BS degree in a related field with 8+ years of relevant experience. Strong understanding of motion planning, trajectory generation, and control systems. Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid). Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc Solid programming skills in C++ and Python on Linux-based systems. Familiarity with robotics middleware such as ROS/ROS 2. Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders. The Extras That Set You Apart Exposure to real-world deployment of autonomous systems. Background in optimization, control, or numerical methods for trajectory planning. Familiarity with learning-based or hybrid planning approaches. Contributions to open-source planning or control frameworks. Familiarity with safety-critical autonomy and industrial robotics use cases. This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee. 70,000 - 300,000 a year Compensation The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.    Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.  Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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About the role: Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers. What you will do: Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities Define and implement the future of the AI Engineering function at Hex as we scale Hire and mentor an exceptional team of AI Engineers Support an exceptional developer and research experience for teams working with AI technology Deliver high-performing shared AI infrastructure, including search systems About You: You have 4+ years of people management experience and leading high-performing teams You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals. You are obsessed with driving business outcomes and delivering value to customers You are rigorous but pragmatic, balancing good experimental design with early-stage agility You are a strong communicator and love collaborating with other roles and teams to drive outcomes You are a talent magnet, with the ability to attract and retain exceptional AI talent Our stack Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack. This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $246,000 - $329,000 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy. Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.

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

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

false

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

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

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

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

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

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

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

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

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