Lead/Staff Full Stack Engineer, AI Platform & Agents

Job PostingAs 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 thesefields, enabling faster, safer, and more impactful decision-making at a globalscale.About this roleOur team is building a central GenAI Platform to empower hundreds of productteams across the organization with scalable capabilities for rapid development,validation, and deployment of AI agents. We also drive the development of themost impactful AI agents, ensuring faster delivery and greater impact acrossmultiple domains. With over 20 agents already launched and many more inprogress, our work accelerates innovation and improves outcomes in criticalindustries.You'll join a 100-engineer remote-first team within a larger organization thatcombines the stability of an established company with the agility of a startup. Inthis high-autonomy, high-impact role, you'll take problems from concept toproduction, mentor less experienced engineers, and lead by example. You'lldesign and ship full-stack systems, shape platform capabilities to empowerhundreds of product teams, and directly contribute to the development of themost impactful AI agents.Flagship Agent: UpToDate Expert AIIn Health, we’re launching UpToDate Expert AI—a medical research and clinicalreasoning agent that transforms the world’s most widely used point-of-careknowledge resource into a real-time medical assistant. Millions of physicians will rely on it to accelerate differential diagnosis, refine treatment decisions, andreduce cognitive load—while maintaining rigorous safety, privacy, and guidelinefidelity. Improvements you ship (latency, reliability, hallucination reduction) willtranslate directly into faster, higher-quality patient care at global scale.Tech stackYou don’t need to know all of these on day one, but you should be ready to learnquickly.TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, RustAWS (primary), Azure, GCP; Docker, Terraform, GitHub ActionsDocumentDB, DynamoDB, OpenSearch, Azure AI SearchAzure OpenAI, AWS Anthropic, Google GeminiGitHub, Confluence, SlackWhat you’ll doDesign 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.Team contextOrg and Sub-teams: Central GenAI Platform within Wolters Kluwer, drivinginnovation across businesses by creating re-usable platform services andcomponents. Sub-teams are fewer than 10 engineers, focused on platformservices or customer-facing agents.Culture and Reporting: We value a "manager of one" mindset, whereoutcomes matter more than optics. Authority is earned throughdemonstrated impact, not tenure or title. You’ll report directly to theDirector of Engineering, AI Platform.Team Size and Impact: Our globally distributed team of ~100 engineerscombines the stability of an established company with the agility of astartup. We are moving fast, and there are many areas where you can havea big impact.Minimum qualifications5+ 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 evaluationBackend developmentFrontend developmentCloud services (AWS/Azure/GCP)CI/CD and Infrastructure as CodeSite Reliability Engineering (SRE)Quality engineering / testing strategySecure SDLC and privacy by designProven track record delivering secure, reliable, cloud-native systems toproduction.Excellent problem-solving, ownership, and cross-functionalcommunication.Nice to haveProven ability to deliver software products independently or as part of asmall, fast-paced team.Experience of taking AI agents from concept to production, including safetyevaluations, iterative testing (e.g., A/B testing), and continuousimprovement.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.Stages15‑minute intro screen2 live coding in your preferred language1 systems design1 presentation of past work​Timeline: Typically 2–4 weeksYour first monthsMonth 1: Deep-dive into one platform component most aligned with yourexpertise; ship small improvements while ramping up.After onboarding: We’ll align on a high-impact area that fits your strengthsand ambitions.To apply: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 inThe technical and product challenges you faced, and how you addressed themThe 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#BETHEDIFFERENCEOur Interview PracticesTo 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.SummaryLocation: DEU - Huerth; DEU - Garching; DEU - Dresden; DEU - Ludwigsburg, KammererstrType: Full time