Lead AI Engineer
Core
Lead AI Applied Engineer designing and operating production-grade AI systems using LLMs to process clinical documents and support healthcare decisions.
Role type
Senior IC Lead AI Applied Engineer (Healthcare AI)
Builds
Production AI platforms processing millions of clinical documents with LLMs, RAG, and agentic workflows
Domain
Healthcare / Large Language Models / Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
LLM integration, RAG, agentic workflows, system architecture, Python, TypeScript, distributed systems, reliability engineering, technical leadership
Preferred skills
AI evaluation frameworks, Model Context Protocol (MCP), Kubernetes, cloud-native platforms, healthcare domain expertise
Technologies
TypeScript, React, Next.js, Python, PostgreSQL, Vertex AI, Docker, Kubernetes, CI/CD
Responsibilities
Own architecture of full-stack AI applications including LLM pipelines and agentic workflows; Design scalable AI solutions prioritizing reliability and auditability; Build high-risk system components; Define engineering standards for AI systems; Mentor engineers through design and code reviews; Ensure compliance with privacy and security regulations
Seniority
Senior, hands-on IC with leadership responsibilities