Flagship Agent: UpToDate Expert AI

In Health, we’re launching UpToDate Expert AI—a medical research and clinical

reasoning agent that transforms the world’s most widely used point-of-care

knowledge resource into a real-time medical assistant. Millions of physicians will rely on it to accelerate differential diagnosis, refine treatment decisions, and

reduce cognitive load—while maintaining rigorous safety, privacy, and guideline

fidelity. Improvements you ship (latency, reliability, hallucination reduction) will

translate directly into faster, higher-quality patient care at global scale.

Tech stack

You don’t need to know all of these on day one, but you should be ready to learn

quickly.

• TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, Rust
• AWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions
• DocumentDB, DynamoDB, OpenSearch, Azure AI Search
• Azure OpenAI, AWS Anthropic, Google Gemini
• GitHub, Confluence, Slack

What you’ll do

• Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
• Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).
• Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege).
• Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.
• Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value—faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query.
• Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects.