Senior AI Engineer
Core
Design, build, and operate production AI systems that transform millions of clinical documents into trusted, actionable data for a major US health insurer.
Role type
Senior AI Applied Engineer (Full-stack)
Builds
Production AI systems, LLM workflows, document processing pipelines, and human-in-the-loop review tools.
Domain
Healthcare / Health Insurance / Large Language Models (LLMs)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TypeScript/JavaScript, LLM integration (RAG, agents, tool calling), backend services, distributed systems, cloud infrastructure (Kubernetes, Docker), CI/CD, prompt engineering, evaluation frameworks, OCR/document processing.
Preferred skills
Agentic architecture, Model Context Protocol (MCP), React/Next.js, regulated industry experience (healthcare/finance), privacy/compliance governance, AI-assisted development tools.
Technologies
TypeScript, React, Next.js, Python, PostgreSQL, Gemini on Vertex AI, OCR, Document AI, Docker, Kubernetes, CI/CD platforms.
Responsibilities
Design and deploy full-stack AI applications; build and optimize LLM workflows for extraction and retrieval; develop robust prompt strategies and fallback mechanisms; implement RAG systems with vector databases; create evaluation frameworks and benchmark datasets; build human-in-the-loop validation processes; maintain document-processing pipelines; optimize for accuracy, latency, and cost; implement observability and incident response; collaborate with clinical and product stakeholders to translate requirements into scalable solutions.
Seniority
Senior, hands-on IC