Functieomschrijving
Role
You will build and deploy agentic AI systems and AI-powered applications with end-to-end ownership—from data ingestion to deployment and monitoring. You will help turn proofs-of-concept into production-grade solutions and quantitatively assess agent performance.
What you’ll do
- Design and implement scalable GenAI solutions using cloud services (examples: Azure OpenAI, Azure ML, AKS, Azure Functions, API Gateway) with a focus on portability, resilience and cost-effectiveness.
- Develop and maintain CI/CD pipelines and infrastructure as code (GitHub, Azure DevOps, Terraform, Bicep, Kong).
- Build Python-based microservices and automation tools to support GenAI workflows, infrastructure provisioning and agent orchestration.
- Integrate and manage agentic AI frameworks (e.g., LangChain, Semantic Kernel, LangGraph, AutoGen) to support multi-step workflows and decision making.
- Ensure security, compliance and performance optimization across GenAI workloads.
- Collaborate with Data Science, Product and Business stakeholders to translate requirements into technical solutions, including prompt engineering, chaining and memory management.
Technical leadership & impact
- Convert use-case specific codebases into reusable building blocks consumed by many teams.
- Pair-program and work across squads to solve complex problems.
- Act as a trusted advisor on GenAI strategy, infrastructure scalability and operational excellence.
Soft skills & leadership qualities
- Relentless in getting things done; pragmatic, adaptable and persistent.
- Entrepreneurial mindset with the ability to pitch ideas and iterate on feedback.
- Excellent communication—able to simplify complex ideas and build trust across teams.
- Mentorship mindset—mentor junior colleagues and foster a culture of learning and innovation.
Required qualifications
- At least one shipped AI-powered product (ideally agentic or multi-step AI system) used by real users in production.
- 8+ years of strong hands-on development experience; fluent in Python and strong Cloud & DevOps practices.
- Practical experience with agentic AI frameworks (LangGraph, Semantic Kernel, AutoGen or comparable).
- Excellent communication and stakeholder management skills.
- Experience mentoring juniors or leading technical teams.
- Experience working in an Agile environment (SCRUM or Kanban).
Practical information
- Working language: English (Dutch not required).
- Location requirement: Candidates must reside in the Netherlands.
- On-site presence: Fixed office day on Thursday.
- Employment type: No freelance contractors (geen ZZP).
Eisen
- AI
- CI/CD
- Python
Je sollicitatie dient uiterlijk 30 april 2026 om 10:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.