Senior AI Engineer — RAG Applications
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Key Responsibilities
Design and implement end-to-end RAG pipelines (retrieval, reranking, LLM orchestration) Build data ingestion pipelines (CMS and document sources, chunking, embeddings) Develop prompt templates, guardrails, and evaluation frameworks Implement security controls (ACLs, access filtering) Deploy and manage services using Terraform, Helm, and Kubernetes (AKS) Contribute to CI/CD pipelines using Azure DevOps Support performance tuning and operations during early production phases
Requirements:
Strong experience with Python and AI/ML systems Hands-on experience with RAG, LLMs, and vector databases Experience with Azure (AKS, Azure OpenAI, API Management) Proven experience with Terraform and Kubernetes/Helm Experience building and deploying production AI systems Languages: Dutch or French (fluent) English (professional proficiency) Work Setup:
Location:
Brussels (hybrid – 2–3 days on-site) Contract: Long-term mission (up to 880 working days) Additional
Requirements:
Experience delivering RAG systems to production Ability to work on-site 2–3 days per week
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