Senior Machine Learning Engineer
Core
Design, build, and deploy LLM-powered product features including lab result summaries, clinical workflow tools, and practitioner-facing conversational agents for healthcare practitioners.
Role type
Senior individual contributor machine learning engineer (LLM & agentic AI)
Builds
AI-powered lab interpretation, clinician decision support, and conversational experiences
Domain
Healthcare technology / Applied AI
Deliverable
production ML models | product features
Required skills
LLM application development, RAG workflows, agent orchestration, tool-calling systems, Python backend development, SQL, CI/CD, evaluation and monitoring of AI systems, hallucination detection
Preferred skills
Healthcare domain experience, regulated product experience, MCP familiarity, LangChain/LangGraph expertise
Technologies
Python, SQL, OpenAI, Gemini, Anthropic, LangChain, LangGraph, Hugging Face, Langfuse, Git
Responsibilities
Design and deploy LLM-powered features; build backend services integrating LLMs; develop systems for open-ended clinical questions; implement prompting and safety strategies; build evaluation and monitoring workflows; partner with medical and product teams; own AI systems end-to-end; contribute to architecture decisions
Seniority
Senior, hands-on IC
