AI Engineer for AI Chatbot

Start: asap
End: 31-08-2027
Possible extenion: YES
36 hours per week
ZZP not possible

You will focus on preparing enterprise data and knowledge for advanced AI assistants and applying evaluation frameworks across single-turn, multi-turn, simulated, and agentic scenarios. In this role, you will help ensure that our assistants provide accurate, grounded, and reliable support to advisors.

• Collaborate within a scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and AI Chatbots.
• Build and maintain data pipelines in Databricks to process structured and unstructured data for AI knowledge bases.
• Apply evaluation frameworks to test advanced chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios.
• Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by AI assistants.
• Create and maintain evaluation datasets covering realistic conversations, complex cases, edge cases, and multi-step workflows.
• Implement automated testing, monitoring, and quality gates for changes to data, prompts, models, retrieval, and orchestration.
• Deploy and manage cloud infrastructure using Infrastructure as Code, particularly Azure Bicep and CI/CD pipelines.
• Analyse evaluation results and translate findings into improvements across knowledge, retrieval, prompts, tools, and application logic.

• A strong engineering and data-quality mindset, with an affinity for Agile development.
• A proactive, hands-on approach to solving complex AI-quality and cloud-engineering challenges.
• Strong critical thinking, ownership, and accountability for production-ready solutions.
• Excellent communication skills and a customer-centric attitude.
• A relevant HBO or university degree and fluency in English.

• Strong proficiency in Python and experience with data engineering and automated testing.
• Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code, preferably Bicep.
• Experience building data pipelines and preparing structured and unstructured enterprise data for AI knowledge bases and RAG applications.
• Experience applying evaluation methods to advanced chatbots, including multi-turn, simulated, and agentic interactions.
• Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.