WHAT YOU WILL DO

Building production-grade GenAI solutions using LLMs;

Designing and deploying RAG architectures with vector databases;

Developing APIs and agentic workflows around AI models;

Setting up MLOps/LLMOps for cloud-native AI in Azure, GCP, or AWS.

YOUR PROFILE

Bachelor’s or Master’s degree (HBO/WO) in Computer Science, AI, Data Science, or a related STEM field; At least 4 years of hands-on experience in AI/ML development, with at least 2 years specifically involving GenAI, LLMs, or AI applications (mid-to-senior/senior level);

Senior-level hands-on Python skills; API design and CI/CD within a team environment;

Proven experience deploying LLMs or GenAI into production—moving beyond isolated PoCs to live solutions;

Experience building and deploying RAG architectures: from data sourcing to retrieval and evaluation;

Cloud-native expertise: in-depth knowledge of at least one platform (Azure OpenAI, GCP Vertex AI, or AWS Bedrock);

Experience with MLOps/LLMOps (monitoring, model deployment, observability);

Proficiency in Dutch and English (spoken and written).