Junior 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

We seek 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 and your job

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 Junior 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

• Implementation of GenAI solutions using Azure services (e.g., Azure OpenAI, Azure ML, AKS, Azure Functions).
• Build and maintain Python-based microservices and automation tools to support GenAI workflows and infrastructure provisioning.

Collaboration & Delivery

• Work closely with Data Scientists, Product Owners, and Engineers to translate business requirements (user stories).
• Participate in the development of AI workflows including prompt chaining, memory management, and agent orchestration.
• Communicate technical concepts clearly within cross-functional teams.
• Support integration of GenAI capabilities into existing platforms and services.

Growth & Contribution

• Continuously learn engineering practices and contribute to team knowledge sharing.
• Stay up to date with emerging GenAI technologies and cloud-native patterns.
• Learn and participate in code reviews, design discussions, and sprint planning.

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. You’ll see this reflected in your personal development budget, our hybrid work environment, and a healthy work-life balance. You’ll contribute to banking for private and business customers, as well as societal issues like food and energy transitions.

You and your talent

• Technical Ownership: Learn 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.
• Collaborate on robust Python-based microservices and automation scripts to support GenAI workflows and infrastructure provisioning.

• 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.
• Learning and adaptability mindset.
• Good communication skills – able to simplify complex ideas and build trust across teams.

Required Qualifications

• 0–2 years of experience in technical roles (DevOps, Software Engineering, ML Engineering, or Data Science) or relevant internships/projects.
• Exposure to AI workloads (preferably Generative AI or agentic systems) through academic projects, personal work, or internships.
• Basic understanding of Cloud platforms (Azure preferred, or AWS/GCP) and willingness to learn Infrastructure as Code (Terraform/Bicep).
• Proficiency in Python for scripting and simple automation tasks.
• Interest in agentic frameworks (LangGraph, AutoGen, CrewAI) and AI workflow concepts.
• Familiarity with containerization (Docker) and curiosity about orchestration tools (AKS/Kubernetes).
• Basic knowledge of APIs and integration principles.
• Awareness of security and monitoring fundamentals in cloud environments.
• Strong communication skills, eagerness to learn, and ability to work effectively in Agile teams (SCRUM or Kanban).