Senior Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)

Senior Full Stack Engineer, AI Platform & Agents

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.

• Location: : US/Canada, Hybrid or Remote
• Work Hours: Must have 9–11 AM CST overlap
• Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment, with 2 days per week onsite.
• Candidates not within commuting distance will be considered for remote employment.
• 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

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 through writing high-quality, maintainable code that demonstrates engineering craftsmanship.

Team context

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.