[Remote] Senior Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)

Note: The job is a remote job and is open to candidates in USA. Wolters Kluwer is building a central GenAI platform that supports critical decision-making across healthcare, legal, tax, and compliance industries. The Senior Full Stack Engineer will design and ship full-stack systems, AI agents, and platform capabilities while enabling rapid development, validation, and deployment of secure, reliable AI solutions.

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

• -Location: : US/Canada, Hybrid or Remote
• -Work Hours: Must have 9–11 AM CST overlap
• Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment, with 2 days per week onsite
• Candidates not within commuting distance will be considered for remote employment
• * 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 plans
• Dental plans
• Vision plans
• 401(k)
• FSA/HSA
• Commuter benefits
• Tuition Assistance Plan
• Vacation time
• Sick time
• Paid parental leave
• Hybrid employment with 2 days per week onsite for candidates within commuting distance of a Wolters Kluwer office
• Remote employment for candidates not within commuting distance

Company Overview

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