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
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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.

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, Dynamo
  
  DB, 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.
• Culture and Reporting: 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.
• Team Size and Impact: Our globally distributed team of ~100 engineers combine the stability of an established company with the agility of a startup. We are moving fast, and there are many areas where you can have a big impact.
• Work setup: 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, reliable, cloud‑native systems to production.
• Excellent problem‑solving, ownership, and…