Note: The job is a remote job and is open to candidates in USA. Wolters Kluwer is a company focused on critical decisions in healthcare, legal, tax, and compliance industries. They are seeking a Senior Full Stack Engineer to build a GenAI platform that empowers product teams with scalable capabilities for AI agent development and deployment.
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 through writing high-quality, maintainable code that demonstrates engineering craftsmanship
Skills
- 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
Benefits
- Medical, Dental, & Vision Plans
- 401(k)
- FSA/HSA
- Commuter Benefits
- Tuition Assistance Plan
- Vacation and Sick Time
- Paid Parental Leave
Company Overview