Location: Brussels
Languages: English and Dutch/French
Employment Type: Freelance
Start Date: ASAP
End Date: 31/12/2026
Context of the mission/Objective(s) of the job:
The 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 Role.
As 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 Architect
* UGo AI Search Solution Architect
Your 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-ranking
* LLM orchestration
* Citation handling
Development of the data ingestion pipeline:
* Integration with Jahia CMS and SharePoint
* Document chunking and embedding workflows
Implementation of:
* Security trimming and ACL propagation
* Prompt templates and guardrails
Creation of an evaluation and benchmarking framework for model performance
Development and maintenance of:
* Infrastructure-as-Code (Terraform)
* Deployment artefacts (Helm charts)
Contribution to:
* Deployment, monitoring, and tuning during early Run phase
* Continuous improvement of system performance and reliability
Key Responsibilities
* Build scalable and production-ready AI pipelines using RAG architecture
* Collaborate with architects to translate designs into implementation
* Ensure secure and compliant access to enterprise knowledge sources
* Optimize retrieval quality, latency, and response accuracy
* Automate deployment pipelines and infrastructure provisioning
* Monitor, debug, and improve system performance post-deployment
* Contribute to best practices within the AI CoE
Required Skills & Experience
Core Technical Skills
* Python – Advanced (recent hands-on experience)
* Azure DevOps – Advanced
* Azure Kubernetes Service (AKS) – Advanced
* Terraform – Advanced
AI / ML Expertise
* RAG (Retrieval-Augmented Generation) – Intermediate
* LLMs (Large Language Models) – Intermediate
* Azure OpenAI Service – Intermediate
* Vector Databases – Intermediate