Lead​/Full Stack Engineer, AI Platform & Agents

Job Posting As Lead/Staff 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.

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, mentor less experienced engineers, and lead by example.

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.

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.

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

You don’t need to know all of these on day one, but you should be ready to learn quickly.

• 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 and be heavily hands‑on: drive architecture, mentor engineers, and take ownership of larger projects.

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 Director of Engineering, AI Platform.

• 5+ years of professional software engineering experience.
• Strong full-stack development skills and cloud experience (AWS/Azure/GCP).
• Expert in at least one, and…