# GenAI Engineer
## Top Responsibilities
- Build prototypes and proof-of-concepts for GenAI use cases, from RAG pipelines to agent architectures
- Configure and optimize LLM workflows, vector databases, and retrieval systems in Databricks and Azure
- Develop evaluation suites to measure solution quality, including prompt testing and output validation
- Assess technical feasibility of proposed AI solutions and advise the team on what is realistic
- Facilitate the technical side of prompting workshops with business subject matter experts
- Integrate GenAI components with existing data infrastructure and enterprise systems
- Mentor engineers and help them develop AI engineering skills
- Contribute to technical vision and knowledge sharing within the team
## Required Qualifications
- 5+ years in technical role (experience in software engineering, ML or data engineering)
- Experience in developing LLM-based applications, including prompt engineering and evaluation
- Strong hands-on expertise in Python, SQL, API development and modern AI tooling
- Experience with Databricks or similar data platforms
- Experience with Azure AI services (Azure OpenAI, AI Search, Document Intelligence)
- Understanding of vector databases and RAG patterns for retrieval-augmented generation
- Security and observability awareness: best practices for monitoring, compliance, and reliability in AI systems
- Strong communication skills in English; Dutch is a plus
- Comfort with ambiguity, iterative problem-solving, and changing priorities
- Must be in the Netherlands