Functie
AI Engineer — GenAI Assistants (Customer Service)
Role overview: Prepare enterprise data and knowledge for advanced AI assistants and apply evaluation frameworks across single-turn, multi-turn, simulated, and agentic scenarios to ensure assistants provide accurate, grounded, and reliable support to advisors.
Key responsibilities
Collaborate within a scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and 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.
Your profile
Mindset: Strong engineering and data-quality mindset with an affinity for Agile development.
Approach: Proactive, hands-on problem solver for complex AI-quality and cloud-engineering challenges.
Attributes: Strong critical thinking, ownership, and accountability for production-ready solutions.
Communication: Excellent communication skills and a customer-centric attitude.
Education & language: Relevant HBO or university degree and fluency in English.
Required skills
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.
Extra informatie
Competenties
Strong engineering and data-quality mindset
An affinity for Agile development
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
Customer-centric attitude
Relevant HBO or university degree
Fluency in English
Strong proficiency in Python
Experience with data engineering
Experience with automated testing
Hands-on experience with Azure
Hands-on experience with Databricks
Hands-on experience with DevOpsHands-on experience with CI/CDHands-on experience with Infrastructure as Code, preferably Bicep
Experience building data pipelines
Experience preparing structured and unstructured enterprise data for AI knowledge bases and RAG applications
Experience applying evaluation methods to advanced chatbots
Experience with multi-turn interactions
Experience with simulation-based interactions
Experience with agentic interactions
Familiarity with Context Engineering
Familiarity with Agentic AIFamiliarity with Function Calling
Familiarity with retrieval strategies
Familiarity with tool use
Je sollicitatie dient uiterlijk 8 oktober 2026 om 10:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.
