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Forward Deployed Engineer (Mid/Senior)

Hippocratic AI· C&S
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Menlo Park, CAFull-timePosted 4mo ago

About the role

Technical owner of AI deployments in healthcare, embedding with customers to design, build, and operate production conversational AI agents grounded in clinical workflows.

Responsibilities

  • 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

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

Skills

Required:RAG (Retrieval-Augmented Generation)LangChain / LangSmith
Nice to have:MCP (Model Context Protocol)

Benefits

  • Competitive base salary
  • Stock options
  • Comprehensive compensation package (details determined by experience and location)
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Hippocratic AI

Safest Healthcare Generative AI Agents

Safest Healthcare Generative AI Agents Our AI agents do not diagnose or prescribe. Learn more. Listen to these 4 real de-identified calls from the over 115 million clinical interactions.

HealthcareAIGenerative AIClinical InteractionsPatient Care
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