Hippocratic AI
Forward Deployed Engineer (Mid/Senior)
Menlo Park, CA · On-site · Senior · Full-time · Posted Aug 8, 2026
- Experience
- 3+ years of professional software engineering experience.
- Education
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
About the job
Own customer-facing deployments of production conversational AI agents, integrating them with health system data and systems and ensuring reliable operation in clinical workflows.
What you'll do
- Design RAG pipelines and secure tool-calling integrations with customer systems.
- Implement and launch AI deployments, including testing, monitoring, cutover, and production support.
- Partner with customers to explain system capabilities, troubleshoot issues, and improve deployment outcomes.
What they ask for
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
- 3+ years of professional software engineering experience, including strong Python fundamentals and production software development.
- Hands-on experience with LLM frameworks such as LangChain or LangSmith, and understanding of modern LLM development patterns.
- Expertise in RAG, prompt engineering, tool calling, LLM-as-judge, and experience integrating APIs, databases, or enterprise systems.
Nice to have
- Experience with MCP or similar frameworks; healthcare IT, EHR integrations, FHIR, HL7, or healthcare data standards.
- Production DevOps or infrastructure experience, production AI deployments, safety-sensitive systems, or startup/high-growth technology background.
Tools
Python, LangChain, LangSmith, Model Context Protocol (MCP), Epic, Cerner, Athena, FHIR
AI focus
Build and operate conversational AI agents for healthcare, including RAG, tool calling, prompt engineering, LLM-as-judge, and production deployment.
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