Functie
AI Engineer – GenAI Assistants within Customer Service
The role
As an AI Engineer, you will prepare enterprise data and knowledge for advanced AI assistants and evaluate their quality across single-turn, multi-turn, simulated, and agentic scenarios. You will help ensure that assistants provide accurate, grounded, and reliable support to advisors.
What you’ll do
Collaborate within a Scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
Build and maintain Databricks data pipelines for structured and unstructured data.
Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by AI assistants.
Apply evaluation frameworks to test chatbots in single-turn, multi-turn, simulation-based, and agentic scenarios.
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 to knowledge, retrieval, prompts, tools, and application logic.
What you bring
A relevant HBO or university degree.
Fluency in English.
A strong engineering and data-quality mindset, with an affinity for Agile development.
A proactive, hands-on approach to complex AI-quality and cloud-engineering challenges.
Strong critical-thinking skills, ownership, and accountability for production-ready solutions.
Excellent communication skills and a customer-centric attitude.
Your skills and experience
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 evaluating advanced chatbots, including multi-turn, simulated, and agentic interactions.
Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.
Eisen
- Relevant HBO or university degree and fluency in English
Extra informatie
Competenties
Strong engineering and data-quality mindset, with 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 and a customer-centric attitude
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
Je sollicitatie dient uiterlijk 13 november 2026 om 12:00 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.
