Jobid=183fb4f6fd85 (0.0202)
ppAs 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 these fields, enabling faster, safer, and more impactful decision‑making at a global scale. /ph3About This Role /h3pOur 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, mentor less experienced engineers, and lead by example. /ph3Flagship Agent: UpToDate Expert AI /h3pIn 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. /ph3Tech stack /h3ulliTypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, Rust /liliAWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions /liliDocumentDB, DynamoDB, OpenSearch, Azure AI Search /liliAzure OpenAI, AWS Anthropic, Google Gemini /liliGitHub, Confluence, Slack /li /ulh3What You’ll Do /h3ulliDesign and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment. /liliBuild developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry). /liliApply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege). /liliCollaborate with product, UX, and domain experts to deliver customer‑focused solutions with measurable outcomes. /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. /liliLead by example and be heavily hands‑on: drive architecture, mentor engineers, and take ownership of larger projects. /li /ulh3Team context /h3pCentral GenAI Platform within Wolters Kluwer, driving innovation across businesses by creating reusable platform services and components. Sub‑teams are fewer than 10 engineers, focused on platform services or customer‑facing agents. /ph3Culture and Reporting /h3pWe 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. /ph3Team Size and Impact /h3pOur 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. /ph3Minimum Qualifications /h3ulli5+ years of professional software engineering experience. /liliStrong full‑stack development skills and cloud experience (AWS/Azure/GCP). /liliExpert in at least one of 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. /liliProven track record delivering secure, reliable, cloud‑native systems to production. /liliExcellent problem‑solving, ownership, and cross‑functional communication. /li /ulh3Nice to have /h3ulliProven ability to deliver software products independently or as part of a small, fast‑paced team. /liliExperience of taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement. /liliExperience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch. /liliWorked on traditional ML tasks like training, deployment, and monitoring. /liliUnderstand how LLMs work, their failure modes, and techniques like fine‑tuning and model adaptation. /liliFamiliarity with regulatory frameworks such as SOC2, HIPAA, etc. /li /ulh3Stages /h3ulli15‑minute intro screen /lili2× live coding in your preferred language /lili1× systems design /lili1× presentation of past work /li /ulh3Timeline /h3pTypically 2–4 weeks. /ph3Your first months /h3ulliMonth 1: Deep‑dip into one platform component most aligned with your expertise; ship small improvements while ramping up. /liliAfter onboarding: We’ll align on a high‑impact area that fits your strengths and ambitions. /li /ulh3To apply /h3pPlease 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: /pulliYour role and the problem space you were working in /liliThe technical and product challenges you faced, and how you addressed them /liliThe measurable impact of your work (e.g., metrics, outcomes, improvements) /li /ulpThis will help us better understand your approach to solving complex problems and the value you bring to the team. /ppPlease do not include any proprietary or confidential information in your submission. /ph3Interview Practices /h3pTo 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. /ppApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. /p /p #J-18808-Ljbffr
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