AI Engineer

Help build safe, high-quality AI Agents used by millions of customers at Rabobank. Shape the next generation of customer-facing AI solutions with impact on 9.5 million customers worldwide.

You & your role

Design and deliver production-ready AI capabilities that improve Rabobank’s customer-facing AI Agents. You build evaluation frameworks, enhance knowledge systems, and create scalable AI services used across chat and voice channels by millions of customers. As the AI Engineer, you work closely with fellow engineers and Copilot specialists to turn AI innovation into reliable customer solutions.

Examples from practice

• Build evaluation pipelines that automatically test and safeguard AI Agent behaviour.
• Develop knowledge retrieval flows that ensure grounded, accurate answers.
• Contribute to the development of an AI Voice Agent for customer service.

Top 3 responsibilities

1. Develop scalable, production-ready AI services that support knowledge integration, customer interaction flows, and safe deployment, ensuring long-term maintainability and reliability.
2. Strengthen monitoring and observability by designing systems that track behaviour, detect anomalies, and protect customer experiences across all AI Agent touchpoints.
3. Lead engineering improvements by integrating evaluation results, driving automation, and coordinating with multidisciplinary teams to raise AI system performance.

In this role, you work within a multidisciplinary AI team that focuses on customer-facing AI Agents, collaborating with engineers and Copilot Studio specialists to deliver robust and scalable AI solutions.

What Rabobank offers

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 working environment, and a healthy balance between work and home. You can work on banking services for private and business customers as well as societal issues such as food and energy transitions.

You & your talent

• 3+ years of experience in Python engineering, including ML/AI tooling
• 2+ years working with API development and CI/CD pipelines
• Experience with Microsoft Azure, Databricks or MLFlow in production environments
• Strong communicator who works collaboratively
• Ownership mindset with a proactive approach
• Analytical problem-solver with attention to detail
• Skilled in navigating multidisciplinary projects
• Comfortable working in fast-moving technical environments
• Quality-driven and structured in delivery