Senior Full Stack Engineer, AI Platform & Agents
Senior full-stack engineer on Wolters Kluwer's central GenAI platform, building platform services and AI agents (e.g., UpToDate Expert AI) for healthcare, legal, tax, and compliance products. Ships full-stack systems, agent tooling, CI/CD, and evals using TypeScript, Node.js, React, Python, LangChain, and AWS/Azure.
- Compensation
- Not disclosed
- Location
- Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See (Vatican City State), Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom, United States, Åland Islands
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 5+ years of professional software engineering experience
- Strong full-stack development skills and cloud experience (AWS/Azure/GCP)
- Expert in at least one, proficient across the others: AI agent development and evaluation, backend development, frontend development, cloud services, CI/CD and Infrastructure as Code, SRE, quality eng
- Proven track record delivering secure, reliable, cloud-native systems to production
- Excellent problem-solving, ownership, and cross-functional communication
Nice to have
- Proven ability to deliver software products independently or as part of a small, fast-paced team
- Experience 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
- Experience with traditional ML tasks like training, deployment, and monitoring
- Understands how LLMs work, their failure modes, and techniques like fine-tuning and model adaptation
- Familiarity with regulatory frameworks such as SOC2, HIPAA
Full description
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.
About this role
Our 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. 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.
Flagship Agent: UpToDate Expert AI
In 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.
Tech stack
You don’t need to know all of these on day one, but you should be ready to learn
quickly.
- TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, Rust
- AWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions
- DocumentDB, DynamoDB, OpenSearch, Azure AI Search
- Azure OpenAI, AWS Anthropic, Google Gemini
-
GitHub, Confluence, Slack
What you’ll do
- Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.