Hippocratic AI is building the world's first healthcare-only, safety-focused LLM platform. As a Senior Forward Deployed Engineer, you're an AI systems designer who drives innovation and solves cutting-edge problems in healthcare conversational AI. You develop sophisticated AI systems, anticipate customer needs, and shape how Hippocratic AI deploys advanced LLM techniques at scale. You balance ambitious innovation with production reliability, combining deep AI expertise with architectural thinking.

This role owns the full technical vision for complex AI deployments: architecting advanced RAG systems, designing sophisticated tool-calling and MCP integration patterns, implementing cutting-edge LLM techniques, anticipating and solving customer problems proactively, ensuring production reliability across multiple systems, and mentoring other engineers. You work closely with Deployment Strategists and CSEs to deliver AI agents that set the standard for innovation and reliability in healthcare.

What Success Looks Like

Cutting-Edge AI Innovation: You design sophisticated AI solutions using advanced LLM techniques (multi-turn reasoning, complex RAG, LLM-as-judge); solve novel healthcare AI challenges that move the category forward
Proactive Problem-Solving: You identify customer issues early through deep monitoring and proactive communication, often solving problems before they impact clinical operations
Advanced System Design: You architect complex AI systems with sophisticated RAG pipelines, nuanced tool-calling strategies, and advanced LLM techniques that solve novel customer problems
Production Excellence: You own production reliability across multiple deployments, anticipate failure modes, implement proactive monitoring, and drive continuous reliability improvements
Technical Leadership: You serve as the technical authority for complex, novel deployments; guide architectural decisions; mentor other engineers on AI techniques
Customer Technical Partnership: You partner with sophisticated customer IT teams on complex challenges, explaining architectural choices, and collaborating on optimizations

Core Responsibilities

AI Innovation & Architecture – Design cutting-edge AI solutions to novel healthcare challenges; architect advanced RAG, tool-calling, and LLM technique approaches
Advanced RAG System Design – Design and implement advanced retrieval-augmented generation systems; optimize for relevance, latency, and cost; handle complex data sources and sophisticated chunking strategies
Advanced LLM Techniques – Apply sophisticated LLM engineering patterns (LLM-as-judge, multi-turn reasoning, complex prompt engineering); optimize agent behavior for production reliability
Proactive Customer Problem-Solving – Anticipate customer issues; propose proactive AI-driven solutions; identify optimization opportunities
Production Architecture & Operations – Design infrastructure for high-reliability AI systems; implement comprehensive monitoring, logging, and incident response; ensure systems meet production standards
Complex Deployments – Lead technical execution for sophisticated, novel deployments; own integration architecture; solve complex AI challenges creatively
Team Mentoring & Technical Leadership – Mentor junior FDEs on AI development and production patterns; contribute to technical standards and best practices

What You Bring

Must Haves

5-7 years of software engineering experience with expert-level Python and production software systems expertise
Advanced hands-on experience with LLM frameworks (LangChain, LangSmith); deep understanding of RAG, tool calling, and advanced LLM patterns; experience solving novel AI problems
Proven ability to architect and implement complex AI systems; experience designing systems for reliability and scale
Experience with sophisticated integrations and enterprise systems; strong understanding of systems reliability, error handling, and operational patterns.
Bachelor's degree in Computer Science or related field from a top ranked university.

Nice to Haves

Experience designing and optimizing advanced RAG systems at scale; deep knowledge of retrieval strategies, embedding models, or vector databases
Hands-on experience with Model Context Protocol (MCP) or similar sophisticated tool integration approaches
Healthcare IT experience (EHR integrations, FHIR, HL7, healthcare data standards)
Experience mentoring engineers or leading technical initiatives; contributions to AI/ML open source projects
Track record of driving innovation in AI systems or solving novel technical challenges

Why Hippocratic AI

You're architecting the future of AI in healthcare. You're designing sophisticated systems that solve cutting-edge healthcare AI challenges. Your RAG architectures, tool-calling patterns, advanced LLM techniques, and production systems directly transform healthcare operations at scale. This is architectural-level impact on healthcare innovation.
You work with world-class AI engineers and clinical experts. The team includes AI pioneers from Google, Meta, Microsoft, NVIDIA and clinical leaders from Johns Hopkins, Washington University, Stanford. You'll tackle the hardest AI innovation problems with the sharpest minds. You'll grow faster here than almost anywhere.
Backed by $404M from top-tier AI and healthcare investors—CapitalG, a16z, General Catalyst, plus health system validators like UHS, Cincinnati Children's, WellSpan. You're not betting on unproven ideas; you're building on validated market demand and deep institutional support. Focus on technical excellence at scale.
This is category creation in AI-native healthcare delivery. You're defining how LLM agents interact with healthcare systems, how sophisticated RAG enables clinical AI, how to deploy advanced AI techniques safely. You're writing the playbooks. Every system you build contributes to transforming how healthcare uses AI.

Ready to Apply?

If you've built production AI systems, thrive at the edge of technical and human complexity, and want your work to matter in the most direct sense possible — we'd like to meet you.

Why Join Hippocratic AI

Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.

Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.

Equal Opportunity

Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.

Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.

Listed by Hippocratic AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

43 days ago

Staff Applied Scientist, Reinforcement Learning

Hippocratic AI · Menlo Park, California, United States

Pay

$135k–245k

Setting

On-site

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Staff Applied Scientist, Reinforcement Learning Location Menlo Park, CA Employment Type Full time Location Type On-site Department Product and Engineering Overview Application About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Why Join Our Team Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Location Requirement We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified. About the Role LLM post-training is where raw capability becomes reliable, safe behavior — and in healthcare, the stakes are as high as they get. You'll own the Reinforcement Learning (RL) and On-Policy Distillation (OPD) post-training pipeline end to end, to improve our models' clinical reasoning, safety, and alignment. Your models will be deployed to interact with millions of patients across diverse clinical use cases. What You’ll Do Design RL and OPD post-training methods (RLHF, RLVR, OPD, etc.) Build and evaluate reward models, verifiers, and LLM-as-judge pipelines Develop conversational AI environments and simulations for healthcare RL training with synthetic data Automate post-training loops with agents (auto-research) Run rigorous experiments to understand what drives post-training gains Collaborate with research, engineering, and clinical teams What You Bring MS or PhD in CS or relevant field 5+ years or experience in NLP, LLM training, or RL 2+ years experience in RL for LLM post-training Experience with large-scale (50B+ parameter and multi-node) LLM training Strong Python and PyTorch coding skills Experience with RLHF, RLVR, LLM-as-judge or similar methods for LLM post-training Nice-to-Have: Publications at top venues (NeurIPS, ICML, ICLR, ACL, EMNLP) Healthcare domain experience Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Hippocratic AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

43 days ago

Senior Applied Scientist, Reinforcement Learning

Hippocratic AI · Menlo Park, California, United States

Pay

$155k–245k

Setting

On-site

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Senior Applied Scientist, Reinforcement Learning Location Menlo Park, CA Employment Type Full time Location Type On-site Department Product and Engineering Overview Application About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Why Join Our Team Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Location Requirement We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified. About the Role LLM post-training is where raw capability becomes reliable, safe behavior — and in healthcare, the stakes are as high as they get. You'll own the Reinforcement Learning (RL) and On-Policy Distillation (OPD) post-training pipeline end to end, to improve our models' clinical reasoning, safety, and alignment. Your models will be deployed to interact with millions of patients across diverse clinical use cases. What You’ll Do Design RL and OPD post-training methods (RLHF, RLVR, OPD, etc.) Build and evaluate reward models, verifiers, and LLM-as-judge pipelines Develop conversational AI environments and simulations for healthcare RL training with synthetic data Automate post-training loops with agents (auto-research) Run rigorous experiments to understand what drives post-training gains Collaborate with research, engineering, and clinical teams What You Bring MS or PhD in CS or relevant field 3+ years or experience in NLP, LLM training, or RL 1+ years experience in RL for LLM post-training Experience with large-scale (50B+ parameter and multi-node) LLM training Strong Python and PyTorch coding skills Experience with RLHF, RLVR, LLM-as-judge or similar methods for LLM post-training Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Hippocratic AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

47 days ago

Agent Deployment Architect (Tampa Bay, FL)

Hippocratic AI · Tampa Bay, Florida, United States

Pay

$120k–220k

Setting

On-site

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Agent Deployment Architect (Tampa Bay, FL) Location Tampa Bay, FL Employment Type Full time Location Type On-site Department Customer Experience Overview Application About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Why Join Our Team Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. About the Role We are seeking a Agent Deployment Architect who thrives at the intersection of engineering, client interaction, and real-world healthcare implementation. In this role, you will act as a technical and strategic partner to our clients across the payor, provider, and digital health sectors—helping to deploy our LLM safely, effectively, and efficiently in high-impact environments. You’ll collaborate closely with engineering, AI, clinical, and business teams to customize and deploy solutions that make a meaningful difference in healthcare delivery. What You'll Do Serve as a technical lead on client engagements, guiding end-to-end solution deployment and customization. Act as the bridge between our engineering team and client stakeholders to ensure smooth implementations. Rapidly prototype integrations, build internal tooling, and configure systems to meet client needs. Own the technical deployment lifecycle, including onboarding, configuration, validation, and troubleshooting. Partner cross-functionally with product and clinical teams to surface insights and inform the product roadmap. This is an onsite role based in Tampa Bay, FL, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions. What You Bring Must Have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in technical roles involving customer-facing deployments or implementation engineering. Deep experience integrating with healthcare systems such as EHRs (Epic, Cerner, Athena), CRMs, or population health platforms. Strong knowledge of healthcare data and interoperability standards (FHIR, HL7v2, etc.). Experience working in complex technical environments within health systems, payors, or digital health. Excellent communication skills and ability to translate complex technical requirements across diverse stakeholders. Ability to satisfy client-specific credentialing requirements, including drug screening and proof of required vaccinations or immunizations, as mandated by the healthcare facilities where you will be deployed. Nice to Have: Strong Python skills and comfort with debugging and writing scripts as needed. Familiarity with cloud platforms, APIs, and secure data practices. Startup experience and a comfort with ambiguity, velocity, and building from scratch. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Why Join Hippocratic AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Equal Opportunity Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Hippocratic AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

90 days ago

Forward Deployed Engineer

Hippocratic AI · Menlo Park, California, United States

Pay

$95k–165k

Setting

On-site

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Forward Deployed Engineer (Mid/Senior) Location Menlo Park, CA Employment Type Full time Location Type On-site Department Product and Engineering Overview Application About the Role Role Mission As HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field. What You Will Accomplish Own your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do. Drive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments. The Team You'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises. What You Will Do Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving Location Requirement We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park, CA office five days a week, unless otherwise specified. Basic Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field 3+ years of professional software engineering experience with strong Python fundamentals and production software development experience Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering Preferred Qualifications Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable Startup or high-growth technology background, particularly in technical leadership or ownership roles Our comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location. Why Join Hippocratic AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Equal Opportunity Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Hippocratic AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

110 days ago

Integration Engineer

Hippocratic AI · United States

Pay

$105k–175k

Setting

Remote

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Integration Engineer Location United States Employment Type Full time Location Type Remote Department Customer Experience Overview Application About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Why Join Our Team Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. About the Role We're looking for an Integration Engineer to help bridge healthcare data systems with our clinical AI platform. You'll work at the intersection of healthcare interoperability, system design, and data engineering — connecting EHRs, APIs, and analytics pipelines that make our AI models work at scale. In this role, you'll collaborate with delivery leads, product managers, and customer engineers to design and build reliable integrations using modern interoperability standards. Most of your work will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You'll also coordinate with offshore engineers to deliver high-quality solutions on time. You'll have the opportunity to shape our integration framework, define reusable patterns, and improve performance and reliability across the platform. What You'll Do Design, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL. Collaborate with product and delivery teams to translate requirements into scalable, testable integration flows. Coordinate with offshore teams on implementation, review, and QA. Monitor and optimize performance across live integrations, identifying and resolving bottlenecks. Contribute to reusable components and integration templates that improve delivery efficiency. Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution. This role requires a minimum of 20-40% travel, which may include overnight or out-of-state trips. What You Bring Must-Have: 5+ years of experience in healthcare integration or interoperability engineering. Strong understanding of HL7 v2, FHIR, and X12 standards. Hands-on experience with Python and at least one integration engine (Mirth, Rhapsody, InterSystems IRIS, or Redox). Comfortable working with RESTful APIs, JSON, and SQL. Excellent communication and collaboration skills across technical and non-technical teams. Strong ownership mindset with attention to reliability, scalability, and quality Nice-to-Have: Familiarity with EHR APIs (Epic, Cerner, AthenaOne, or similar). Knowledge of FHIR bulk data workflows. Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines. Background in AI/ML data pipelines or healthcare analytics. Join us and help build the future of safe, life-changing AI in healthcare. There’s never been a more exciting moment to make an impact. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Why Join Hippocratic AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Equal Opportunity Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Hippocratic AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

124 days ago

Agent Deployment Architect (Cincinnati, OH)

Hippocratic AI · Cincinnati, Ohio, United States

Pay

$230k

Setting

On-site

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Agent Deployment Architect (Cincinnati, OH) Location Cincinnati, OH Employment Type Full time Location Type On-site Department Customer Experience Overview Application About Us Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy. Why Join Our Team Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. About the Role We are seeking a Agent Deployment Architect who thrives at the intersection of engineering, client interaction, and real-world healthcare implementation. In this role, you will act as a technical and strategic partner to our clients across the payor, provider, and digital health sectors—helping to deploy our LLM safely, effectively, and efficiently in high-impact environments. You’ll collaborate closely with engineering, AI, clinical, and business teams to customize and deploy solutions that make a meaningful difference in healthcare delivery. What You'll Do Serve as a technical lead on client engagements, guiding end-to-end solution deployment and customization. Act as the bridge between our engineering team and client stakeholders to ensure smooth implementations. Rapidly prototype integrations, build internal tooling, and configure systems to meet client needs. Own the technical deployment lifecycle, including onboarding, configuration, validation, and troubleshooting. Partner cross-functionally with product and clinical teams to surface insights and inform the product roadmap. This is an onsite role based in Cincinnati, OH, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions. What You Bring Must Have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in technical roles involving customer-facing deployments or implementation engineering. Deep experience integrating with healthcare systems such as EHRs (Epic, Cerner, Athena), CRMs, or population health platforms. Strong knowledge of healthcare data and interoperability standards (FHIR, HL7v2, etc.). Experience working in complex technical environments within health systems, payors, or digital health. Excellent communication skills and ability to translate complex technical requirements across diverse stakeholders. Ability to satisfy client-specific credentialing requirements, including drug screening and proof of required vaccinations or immunizations, as mandated by the healthcare facilities where you will be deployed. Nice to Have: Strong Python skills and comfort with debugging and writing scripts as needed. Familiarity with cloud platforms, APIs, and secure data practices. Startup experience and a comfort with ambiguity, velocity, and building from scratch Compensation Starting total compensation for this role is $230,000, which includes base salary, performance bonus, and our In-Residence Bonus for candidates who commit to 5 days onsite at customer locations per week for 12 months. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. Why Join Hippocratic AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Equal Opportunity Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. 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