Senior AI Platform Engineer & Agent Architect

wk

Netherlands

On-site

EUR 110,000 - 160,000

Full time

6 days ago
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Benefits offered by this job

Remote-first team
Hybrid options near offices

Job summary

Wolters Kluwer is seeking a principal Full Stack Engineer, AI Platform & Agents, to build a GenAI platform powering critical decisions in healthcare, legal, tax, and compliance. You will design and ship full‑stack systems and AI agents, collaborating with a globally distributed team to deliver measurable outcomes.

The role emphasizes high autonomy, secure SDLC practices, and a focus on reliability, privacy, and safety.

Qualifications

  • 5+ years of professional software engineering experience.
  • Strong full-stack development skills with cloud experience (AWS/Azure/GCP).
  • Expert in at least one area and proficient across others: AI agent development, backend, frontend.

Responsibilities

  • Design and implement full-stack applications, AI agents, and platform components for rapid GenAI agent development.
  • Build developer tooling, CI/CD, and observability for safe, fast iteration.
  • Apply secure SDLC and privacy-by-design practices.
  • Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
  • Apply current LLM patterns to deliver measurable customer value and lower cost per query.
  • Lead by example through writing high-quality, maintainable code.

Skills

5+ years experience
Full-stack development
Cloud experience
AI Agent development
Backend development
Frontend development
CI/CD
SRE
Secure SDLC
Privacy by design
Cross-functional communication
Problem solving

Tools

AWS
Azure
GCP
LangChain/LangGraph
MCP/A2A
Docker
Terraform
GitHub Actions
DocumentDB
DynamoDB
OpenSearch
Azure OpenAI
Azure AI Search
GitHub
Confluence
Slack

Job description

Wolters Kluwer is seeking a principal Full Stack Engineer, AI Platform & Agents, to build a GenAI platform powering critical decisions in healthcare, legal, tax, and compliance. You will design and ship full‑stack systems and AI agents, collaborating with a globally distributed team to deliver measurable outcomes.

The role emphasizes high autonomy, secure SDLC practices, and a focus on reliability, privacy, and safety.

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