Dev Ops Engineer C

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.

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 DevOps
• Hands-on experience with CI/CD
• Hands-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 AI
• Familiarity with Function Calling
• Familiarity with retrieval strategies
• Familiarity with tool use

Vul je gegevens hieronder in, dan nemen we binnen 2 uur contact met je op om samen te kijken of er een match is. Heb je nog vragen? Bel ons op 030-249 66 96 of stuur een e-mail naar We helpen je graag verder!