Lead/Staff Full Stack Engineer, AI Platform & Agents

Responsibilities

• 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. 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 Director of Engineering, AI Platform. Team Size and Impact: 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.
• 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 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 LangChain/LangGraph and MCP; vector/RAG systems;
• OpenSearch.
• 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 work
• ​Timeline: Typically 2–4 weeks
• Month 1: Deep-dive into one platform component most aligned with your
• expertise; ship small improvements while ramping up.
• After onboarding: We’ll align on a high-impact area that fits your strengths
• and ambitions.
• Please submit your resume along with a brief cover letter that includes a “Statement of Exceptional Work.” In your cover letter, highlight one of your most impactful projects by addressing the following:
• Your role and the problem space you were working in
• The technical and product challenges you faced, and how you addressed them
• The measurable impact of your work (e.g., metrics, outcomes, improvements)
• This will help us better understand your approach to solving complex problems and the value you bring to the team. Please do not include any proprietary or confidential information in your submission #BETHEDIFFERENCE
• To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.