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AI Engineer - GenAI & Customer Service

Job in 3500, Utrecht, Utrecht, Netherlands
Listing for: GeekSoft Consulting
Full Time position
Listed on 2026-10-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70000 - 110000 EUR Yearly EUR 70000.00 110000.00 YEAR
Job Description & How to Apply Below

Geek Soft Consulting | Fixed Term Employment

Utrecht, Netherlands

  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.
Requirements
  • AI Data & Evaluation Engineer to work within a Scrum team, preparing, structuring, enriching, and validating enterprise data for AI knowledge bases and AI chatbots.
  • Build and maintain Databricks data pipelines to process structured and unstructured data for AI knowledge bases.
  • Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by AI assistants.
  • Develop and maintain evaluation datasets covering realistic conversations, complex scenarios, edge cases, and multi-step workflows.
  • Apply evaluation frameworks to test advanced chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios.
  • 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.
  • Analyze evaluation results and translate findings into improvements across knowledge, retrieval, prompts, tools, and application logic.
  • Strong proficiency in Python, data engineering, and automated testing.
  • Hands-on experience with Azure, Databricks, Dev Ops, 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 with chatbot evaluation, including multi-turn, simulated, and agentic interactions.
  • Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.
  • Strong engineering and data-quality mindset with an affinity for Agile development.
  • Strong critical thinking, ownership, accountability, and problem-solving skills.
  • Excellent communication skills and a customer-focused approach.
  • Relevant HBO or university degree and fluency in English.
  • A challenging, innovating environment.
  • Opportunities for learning where needed.
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