Senior AI Engineer - RAG Application H/F/X

Beschrijving van het bedrijf

ATCON is a Belgium-based IT consulting firm established with a vision to empower businesses using the latest technologies and provide best-in-class services to our clients. We support as an end-to-end IT solutions partner for digitalizing business processes and making the data meaningful. Our approach is more solution-driven than technology one, focused to solve business challenges and deliver results. We do what is right for our clients and charge based on what we deliver not on billing hours. Our team consists of self-motivated consultants with an agile mindset, global work exposure, and commitment to deliver the best services.

Beschrijving van de functie

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

Taalvaardigheden

• Engels (troef)

  • Begrijpen : Vaardig - (C1)
  • Schrijven : Vaardig - (C1)
  • Lezen : Vaardig - (C1)
  • Spreken : Vaardig - (C1)

• Frans (troef)

  • Begrijpen : Vaardig - (C1)
  • Schrijven : Vaardig - (C1)
  • Lezen : Vaardig - (C1)
  • Spreken : Vaardig - (C1)

• Nederlands (troef)

  • Begrijpen : Vaardig - (C1)
  • Schrijven : Vaardig - (C1)
  • Lezen : Vaardig - (C1)
  • Spreken : Vaardig - (C1)

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