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# AI Engineer -RAG Platform

- **Company:** Insight
- **Location:** Utrecht, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automated Storage and Retrieval Systems, Microsoft Azure, Big Data, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, Performance Tuning, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Information Technology, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.careerjet.nl/jobad/nl95ece5dbf95d72f895502b2c95a4e34b

## About the Role

Experience with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs)

 - Proficiency in Python and Databricks
 - Knowledge of evaluation frameworks for GenAI systems
 - Experience with embedding models, prompt optimization, data pipelines, workflow automation, CI/CD, and Azure, Experience in fine-tuning language models, ranking/retrieval systems, AI observability, large-scale AI platforms, and synthetic evaluation datasets, Master's degree or equivalent in Data Science, AI, Computer Science, Mathematics, Statistics, or related field
 - Minimum 3 years' experience in machine learning, applied AI, or data science
 - Demonstrated experience with production RAG systems or advanced retrieval-based AI solutions
 - Proven ability to design evaluation methodologies and metrics
 - Track record of automating analyses into production solutions
 - Experience with large datasets and distributed environments
 - Strong communication skills with both technical and non-technical stakeholders
 - Proficient in English (written and spoken)

## Description

Continuous RAG Model Improvement:

 - Enhance retrieval performance, answer quality, and user experience through experimentation and optimization.
 - Evaluation & Measurement Development:
 - Build automated frameworks to evaluate RAG quality, detect regressions, and generate actionable insights.
 - Production Implementation:
 - Convert data analysis and experimental findings into scalable engineering solutions that deliver business value.
 - Collaboration:
 - Work within a team of experienced engineers to build and operate critical AI capabilities for Rabobank.
 - Ownership & Results-Driven:
 - Take responsibility for delivering measurable outcomes, not just activities.
 - Problem Solving:
 - Tackle complex challenges using curiosity, analytical thinking, and a passion for system improvement.