Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. We also drive the development of the most impactful AI agents, ensuring faster delivery and greater impact across multiple domains. With over 20 agents already launched and many more in progress, our work accelerates innovation and improves outcomes in critical industries.
Youll join a 100-engineer team within a larger organization that combines the stability of an established company with the agility of a startup. In this high-autonomy, high-impact role, youll take problems from concept to production. Youll design and ship full-stack systems, shape platform capabilities to empower hundreds of product teams, and directly contribute to the development of the most impactful AI agents.
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.
responsibilities :
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 through writing high-quality, maintainable code that demonstrates engineering craftsmanship.
requirements-expected :
5+ years of professional software engineering experience.
Strong full‑stack development skills and cloud experience (AWS/Azure/GCP).
Expert in at least one, and proficient across the others:
AI Agent development and evaluation
Backend development
Frontend development
Cloud services (AWS/Azure/GCP)
CI/CD and Infrastructure as Code
Site Reliability Engineering (SRE)
Quality engineering / testing strategy
Secure SDLC and privacy by design
Proven track record delivering secure, reliable, cloud‑native systems to production.
Excellent problem‑solving, ownership, and cross‑functional communication.
