Senior Full Stack Engineer, AI Platform & Agents

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.

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.

Up To Date  Expert AI In Health, we’re launching Up To Date  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.

You don’t need to know all of these on day one, but you should be ready to learn quickly. Type Script, Node.js, React, Python, Lang Chain/Lang Graph, MCP/A2A, Rust AWS (primary), Azure, GCP;
Docker, Terraform, Git Hub Actions Document DB, DynamoDB, Open Search, Azure AI Search Azure OpenAI, AWS Anthropic, Google Gemini Git Hub, Confluence, Slack

• 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

Org and Sub‑teams:
Central GenAI Platform within Wolters Kluwer, driving innovation across businesses by creating re‑usable platform services and components. Sub‑teams are fewer than 10 engineers, focused on platform services or customer‑facing agents.

We value a "manager of one" mindset, where outcomes matter more than optics. Authority is earned through demonstrated impact, not tenure or title. You’ll report directly to the VP of Engineering, AI Platform.

Remote‑first in US or EU, with hybrid options near major offices. Collaboration requires 9–11 AM CST overlap. Occasional travel for team onsites/offsites as needed.

• 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,…