PpAbout the job Senior AI Engineer — RAG Applications (Azure / Kubernetes) Job ID: JP /p h3Job Title /h3 pSenior AI Engineer /p h3Overview /h3 pWe are seeking a Senior AI Engineer to build and deploy a production‑grade AI‑powered knowledge search platform using Retrieval‑Augmented Generation (RAG). You will work on scalable, secure, and bilingual AI solutions in a hybrid cloud environment. /p h3Key Responsibilities /h3 ul liDesign and implement end‑to‑end RAG pipelines (retrieval, reranking, LLM orchestration) /li liBuild data ingestion pipelines (CMS and document sources, chunking, embeddings) /li liDevelop prompt templates, guardrails, and evaluation frameworks /li liImplement security controls (ACLs, access filtering) /li liDeploy and manage services using Terraform, Helm, and Kubernetes (AKS) /li liContribute to CI/CD pipelines using Azure DevOps /li liSupport performance tuning and operations during early production phases /li /ul h3Requirements /h3 ul liStrong experience with Python and AI/ML systems /li liHands‑on experience with RAG, LLMs, and vector databases /li liExperience with Azure (AKS, Azure OpenAI, API Management) /li liProven experience with Terraform and Kubernetes/Helm /li liExperience building and deploying production AI systems /li /ul h3Languages /h3 ul liDutch or French (fluent) /li liEnglish (professional proficiency) /li /ul h3Work Setup /h3 ul liLocation: Brussels (hybrid – 2–3 days on‑site) /li liContract: Long‑term mission (up to 880 working days) /li /ul h3Additional Requirements /h3 ul liExperience delivering RAG systems to production /li liAbility to work on‑site 2–3 days per week /li /ul /p #J-18808-Ljbffr