Role overview
- Work in a culture that values initiative, grit and impact.
- Freedom to experiment, learn and grow—with full leadership support.
- A healthy work-life balance because sustainable performance matters.
- We value curiosity, resilience and the ability to learn fast.
A word of caution
We’re not just looking for GenAI enthusiasts—we’re looking for exceptional Engineers & Data Scientists. People who aim for excellence, thrive on solving tough challenges and know how to build from first principles.
If your coding journey started before the rise of GenAI, you’ll feel right at home. We value engineers who understand the fundamentals, who can build & beyond.
What we're looking for
- 2–4 years in technical roles (DevOps, Software Engineering, ML Engineering, or Data Science).
- Hands-on experience deploying AI workloads (preferably Generative AI or agentic systems) in development or staging environments.
- Practical experience with Cloud platforms: Azure (preferred) or AWS or GCP, and Infrastructure as Code (Terraform/Bicep).
- Proficiency in Python for automation and API integration.
- Basic familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI) and AI workflow orchestration concepts.
- Understanding of vector databases and RAG patterns at a conceptual level.
- Experience with containerization (Docker) and exposure to orchestration tools (AKS/Kubernetes).
- Knowledge of API development and integration; exposure to API gateways is a plus.
- Awareness of security and monitoring practices for cloud and AI systems.
- Strong communication skills and ability to collaborate effectively within Agile teams (SCRUM or Kanban).
Interview process
- Questions about working at Rabobank or the process? Raphaël Drenthel, IT Recruiter via Raphael.Drenthel@rabobank.nl
- After submitting your CV and motivation, we’ll respond as soon as possible
- Answers to frequently asked questions can be found at rabobank.jobs/nl/veelgestelde-vragen.
- A reliability screening is part of the procedure.
- We respect your privacy.
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Tags & focus areas
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