Principal Full Stack Engineer, AI Platform & Agents

Job Posting 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.

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

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 Director of Engineering, AI Platform.

Our globally distributed team of ~100 engineers combines 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.

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.

• 8+ 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 cross‑functional communication.

• Proven ability to deliver software products independently or as part of a small, fast‑paced team.
• Experience of taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement.
• Experience with Lang Chain/Lang Graph and MCP; vector/RAG systems;
  Open Search.
• Worked on traditional ML tasks like training, deployment, and monitoring.
• Understand how LLMs work, their failure modes, and techniques like fine‑tuning and model adaptation.
• Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.

15‑minute intro screen 2× live coding in your preferred language 1× systems design 1× presentation of past…