Location: BrusselsLanguages: English and Dutch/FrenchEmployment Type: FreelanceStart Date: ASAPEnd Date: 31/12/2026The client is developing Ugo AI Search, a RAG-based bilingual (French/Dutch) enterprise knowledge search platform designed to serve ~10,000 employees. This is the first production-grade AI service on the client's AI Platform and will pave the way for multiple future AI solutions.You will join the Digital Innovation / AI Center of Excellence (AI CoE) team during the Build and early Run phases, contributing to the successful delivery, deployment, and optimization of this strategic initiative.The AI Platform follows a hybrid architecture, combining:Managed Azure services (Azure Openai, API Management, Content Safety)Self-hosted open-source components on Azure Kubernetes Service (AKS)Infrastructure is managed via TerraForm and Azure DevOps pipelines.Your roleAs a Senior AI Engineer, you will translate high-level architectural designs into a fully functional, scalable, and maintainable AI service.You will work closely with:AI Platform ArchitectUgo AI Search Solution ArchitectYour focus will be on building, deploying, and optimizing the RAG-based system, ensuring it meets enterprise-grade performance, security, and reliability standards.What you will deliver:End-to-end implementation of the RAG pipeline, including:Retrieval and re-rankingLLM orchestrationCitation handlingDevelopment of the data ingestion pipeline:Integration with Jahia CMS and SharePointDocument chunking and embedding workflowsImplementation of:Security trimming and ACL propagationPrompt templates and guardrailsCreation of an evaluation and benchmarking framework for model performanceDevelopment and maintenance of:Infrastructure-as-Code (TerraForm)Deployment artefacts (Helm charts)Contribution to:Deployment, monitoring, and tuning during early Run phaseContinuous improvement of system performance and reliabilityKey responsibilitiesBuild scalable and production-ready AI pipelines using RAG architectureCollaborate with architects to translate designs into implementationEnsure secure and compliant access to enterprise knowledge sourcesOptimize retrieval quality, latency, and response accuracyAutomate deployment pipelines and infrastructure provisioningMonitor, debug, and improve system performance post-deploymentContribute to best practices within the AI CoERequired skills & experienceCore technical skills:Python - Advanced (recent hands-on experience)Azure DevOps - AdvancedAzure Kubernetes Service (AKS) - AdvancedTerraForm - AdvancedAI / ML expertise:RAG (Retrieval-Augmented Generation) - IntermediateLLMs (Large Language Models) - IntermediateAzure Openai Service - IntermediateVector Databases - Intermediate