Lead/Staff Full Stack Engineer, AI Platform & Agents

# Lead/Staff Full Stack Engineer, AI Platform & Agents

Build the GenAI platform that powers critical decisions in healthcare, legal, tax, and compliance industries. Join a 100-engineer remote-first team within Wolters Kluwer to design and ship full-stack systems, shape platform capabilities to empower hundreds of product teams, and directly contribute to the development of impactful AI agents.

## About this role

You'll be part of a central GenAI Platform team building scalable capabilities for rapid development, validation, and deployment of AI agents. With over 20 agents already launched, your work will accelerate innovation and improve outcomes in critical industries. In this high-autonomy, high-impact role, you'll take problems from concept to production, mentor less experienced engineers, and lead by example.

## Flagship Agent: UpToDate Expert AI

In Health, the team is 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 and refine treatment decisions. Improvements you ship will translate directly into faster, higher-quality patient care at global scale.

## 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
• Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects

## Minimum qualifications

• 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