Senior Full Stack Engineer, AI Platform & Agents - Wolters Kluwer

As principal Full Stack Engineer, AI Platform & Agents, you will build the GenAI platform that powers critical decisions in healthcare, legal, tax, and compliance industries. Your work will directly shape the future of these fields, enabling faster, safer, and more impactful decision-making at a global scale. About this role 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.

You'll join a 100-engineer remote-first 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, you'll take problems from concept to production. You'll 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.

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