Senior Full Stack Engineer, AI Platform & Agents

pAs 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. /pbrGeïnteresseerd in deze functie? U vindt alle relevante informatie in de omschrijving hieronder.brAbout This RolebrpOur 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. /pbrpYou’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. /pbrFlagship Agent: UpToDate Expert AIbrpIn Health, we’re launching UpToDate 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. /pbrTech stackbrullibr/liliTypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, Rustbr/liliAWS (primary), Azure, GCP; Docker, Terraform, GitHub Actionsbr/liliDocumentDB, DynamoDB, OpenSearch, Azure AI Searchbr/liliAzure OpenAI, AWS Anthropic, Google Geminibr/liliGitHub, Confluence, Slackbr/li /ulbrWhat You’ll Dobrullibr/liliDesign and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.br/liliBuild developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).br/liliApply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege).br/liliCollaborate with product, UX, and domain experts to deliver customer‑focused solutions with measurable outcomes.br/liliApply 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.br/liliLead by example through writing high‑quality, maintainable code that demonstrates engineering craftsmanship.br/li /ulbrTeam contextbrOrg and Sub‑teamsbrpCentral 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. /pbrCulture and ReportingbrpWe 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. /pbrTeam Size and ImpactbrpOur 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. /pbrWork setupbrpRemote‑first in US or EU, with hybrid options near major offices. Collaboration requires 9–11 AM CST overlap. Occasional travel for team on‑sites/off‑sites as needed. /pbrMinimum Qualificationsbrullibr/lili5+ years of professional software engineering experience.br/liliStrong full‑stack development skills and cloud experience (AWS/Azure/GCP).br/liliExpert in at least one, and proficient across the others:br/liliAI Agent development and evaluationbr/liliBackend developmentbr/liliFrontend developmentbr/liliCloud services (AWS/Azure/GCP)br/liliCI/CD and Infrastructure as Codebr/liliSite Reliability Engineering (SRE)br/liliQuality engineering / testing strategybr/liliSecure SDLC and privacy by designbr/liliProven track record delivering secure, reliable, cloud‑native systems to production.br/liliExcellent problem‑solving, ownership, and cross‑functional communication.br/li /ulbrNice to havebrullibr/liliProven ability to deliver software products independently or as part of a small, fast‑paced team.br/liliExperience of taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement.br/liliExperience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch.br/liliWorked on traditional ML tasks like training, deployment, and monitoring.br/liliUnderstand how LLMs work, their failure modes, and techniques like fine‑tuning and model adaptation.br/liliFamiliarity with regulatory frameworks such as SOC2, HIPAA, etc.br/li /ulbrStagesbrullibr/lili15‑minute intro screenbr/lili2× live coding in your preferred languagebr/lili1× systems designbr/lili1× presentation of past workbr/li /ulbrTimelinebrpTypically 2–4 weeks. /pbrYour first monthsbrullibr/liliMonth 1: Deep‑dive into one platform component most aligned with your expertise; ship small improvements while ramping up.br/liliAfter onboarding: We’ll align on a high‑impact area that fits your strengths and ambitions.br/li /ulbrTo applybrpPlease submit your bresume /b along with a bbrief cover letter /b that includes a b“Statement of Exceptional Work.” /b In your cover letter, highlight one of your most impactful projects by addressing the following: /pbrullibr/liliYour role and the problem space you were working inbr/liliThe technical and product challenges you faced, and how you addressed thembr/liliThe measurable impact of your work (e.g., metrics, outcomes, improvements)br/li /ulbrpThis will help us better understand your approach to solving complex problems and the value you bring to the team. /pbrpPlease do not include any proprietary or confidential information in your submission. /pbr#BETHEDIFFERENCEbrOur Interview PracticesbrpTo 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. xgiwjmb /pbrpApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. /pbr