AI Engineer

• We are looking for 1 FTE;
• We will close the vacancy before the indicated deadline when we have received enough professionals;
• Please clearly indicate in the motivation field whether the candidate has any planned vacation or special leave during the duration of this assignment;
• Please provide in the CV whether an internal reference can be requested. If the candidate is currently working at, or has recently worked at, Rabobank, we would appreciate receiving the name and job title of the relevant team lead;
• Language: English mandatory;
• ZZP Allowed: No.

Job description
Want to improve one of Rabobank's most strategic AI platforms through data-driven experimentation and measurable model improvements?

You & your role
As an AI Engineer - RAG Platform, you are responsible for continuously improving the quality, accuracy and effectiveness of Rabobank's internal Retrieval-Augmented Generation (RAG) platform.
You work at the intersection of Information Retrieval, Data Science and Software Engineering. Rather than building AI applications or platform infrastructure, your primary responsibility is improving the performance of the RAG system itself.
The RAG platform serves thousands of users across Rabobank and acts as a foundation for multiple AI-powered products. Your focus is understanding where and why the system underperforms, designing experiments to validate improvements and translating insights into measurable production outcomes.

You contribute across the entire improvement lifecycle, from failure analysis and hypothesis generation to evaluation, implementation and monitoring. You leverage user feedback, retrieval metrics, evaluation datasets and production telemetry to continuously increase answer quality and user trust.
This role is designed for a highly analytical and hands-on specialist who wants to deepen their expertise in retrieval systems, evaluation methodologies and applied AI rather than moving towards people management or generic product development.
You will work closely with Software Engineers, Platform Engineers, Data Scientists and Product Managers, while acting as the driving force behind the continuous improvement of Rabobank's RAG capabilities.

Examples of what you will work on
What kind of challenges could land on your sprint board?

• Investigating why certain user questions produce lower-quality answers and identifying the underlying retrieval or grounding issues;
• Improving our automated evaluation framework to measure retrieval quality, answer quality and user satisfaction;
• Running large-scale experiments to determine the impact of different chunking, embedding and retrieval strategies;
• Analyzing user interactions and system performance data in Databricks to uncover improvement opportunities;
• Building feedback loops that continuously identify weak responses and feed insights back into the development process;
• Defining and monitoring quality metrics that ensure every release results in measurable model improvements.

Facts & figures
What gives this role its reach and relevance?

• 36 hours per week;
• A strategic AI platform used across Rabobank;
• Working on a production AI system where quality improvements directly impact thousands of users;
• Part of a multidisciplinary team combining engineering, product and AI expertise;

Key responsibilities
1. Drive continuous RAG model improvement
Improve retrieval performance, answer quality and overall user experience through experimentation, analysis and optimization.

… lees de volledige omschrijving bij De Publieke Partner.