Medior Full Stack AI Engineer (Generative AI & Agents)

This is what we offer you

• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

Driving AI Forward at Rabobank

Our Analytics Acceleration Area is growing fast to meet the demand for next-generation AI solutions. As a bank, our customers expect us to stay ahead—and we’re committed to leading the way. That’s why we’re looking for engineers who combine technical excellence with adaptability, collaboration and a strong sense of ownership. These qualities are key to making our cultural shift real and impactful. We’re recruiting the next wave of GenAI changemakers.

Who we’re looking for
Tenacious engineers—passionate about software engineering, craftsmanship and relentless in their pursuit of impact. You finish what you start, thrive in ambiguity, adapt when priorities shift and persist through technical complexity. Your work will directly influence how millions of customers experience AI-driven banking.

Your mindset matters
Are you an entrepreneurial thinker whose ideas deserve to be heard? In our Area, leadership actively drives innovation and removes roadblocks so you can focus on what matters. We’ve got your back.

What makes this role special

• 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.

You & your role

We’re building GenAI solutions that are as impactful for our customers as they are exciting for us to create — and we need your help. As a Medior GenAI Engineer, you’ll be part of a multi-disciplinary team with end-to-end ownership of your work: from data ingestion to deployment and monitoring. You’ll design and deploy scalable GenAI systems, automate relentlessly across the development lifecycle and collaborate across teams to drive innovation. You’ll apply your technical expertise to ensure performance, reliability and real-world impact.

Practical examples

• You are part of an empowered self-performing team. Your voice is heard and you contribute directly to the product, or service, your squad is responsible for.
• Design and build responsible and cost effective GenAI solutions for up to 9.5 million Rabobank customers.
• Convert a use-case specific code base to re-usable building blocks used by 100+ tech teams.
• Pair-program with members of your squad and across other Squads within Rabobank to solve critical or complex problems.

Facts & figures

• Mostly greenfield, very little legacy work.
• Approx. 43,822 Rabobank colleagues around the world.

Top responsibilities

• Contribute to the design and implementation of GenAI solutions using Azure services (e.g., Azure OpenAI, Azure ML, AKS, Azure Functions, API gateway).
• Develop and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, Terraform, Kong, and Bicep.
• Build and maintain robust Python-based microservices and automation tools to support GenAI workflows and infrastructure provisioning.
• Integrate and manage GenAI products to support complex multi-step workflows and decision-making processes.
• Ensure performance, reliability, security, compliance, and performance optimization of GenAI workloads in cloud-native environments.

Collaboration & Delivery

• Work closely with Data Scientists, Product Owners, and Engineers to translate business requirements into scalable technical solutions.
• Participate in the development of AI workflows including prompt chaining, memory management, and agent orchestration.
• Communicate technical concepts clearly within cross-functional teams and to non-technical stakeholders, influencing decision-making.
• Support integration of GenAI capabilities into existing platforms and services.
• Act as a trusted advisor for GenAI strategy and infrastructure scalability.

Growth & Contribution

• Continuously improve engineering practices and contribute to team knowledge sharing.
• Stay up to date with emerging GenAI technologies and cloud-native patterns.
• Participate in code reviews, design discussions, and sprint planning.
• Mentor junior colleagues and foster a culture of learning and growth.

Work on yourself & the world around you

At Rabobank, your development and that of society go hand in hand. That’s why we invest in you and work together for a better world. In short: at Rabobank, you work on yourself and the world around you. This is reflected in your personal development budget, our hybrid work environment, and a healthy work-life balance. You’ll work on banking for our private and business customers, but also on societal issues such as food and energy transitions.

You and your talent

• Technical Ownership: Design and implement scalable GenAI solutions using Azure services (e.g., Azure OpenAI, Azure ML, AKS, Azure Functions, API gateway).
• Develop and maintain CI/CD pipelines for GenAI applications using tools like GitHub, Azure DevOps, Terraform, Kong and Bicep.
• Build robust Python-based microservices and automation scripts to support GenAI workflows and infrastructure provisioning.
• Ensure security, compliance, and performance optimization across GenAI workloads.
• Stakeholder Management: Collaborate with cross-functional teams including Data Science, Product, and Business to translate requirements into technical solutions.
• Communicate technical concepts clearly to non-technical stakeholders and influence decision-making.
• Act as a trusted advisor for GenAI strategy and infrastructure scalability.
• Soft Skills & Leadership Qualities: You are “relentless” in getting things done, you don’t give up, you adapt and find another way to complete your assignment.
• Entrepreneurial - Salesmanship mindset – you see valuable opportunities to pitch your ideas to Leadership, and you have the persistence to adapt your pitch even if you are told “no”.
• Excellent communication skills – able to simplify complex ideas and build trust across teams.
• Mentorship mindset – passionate about helping the Junior colleagues grow and succeed.

Required Qualifications:

• 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).