Senior AI Engineer — RAG Applications

Il y a 23 heures

Brussels, Brussels-Capital Region, Belgique RELYzIT Temps plein

Senior AI Engineer — RAG Applications (Azure / Kubernetes) - 4 weeks - BrusselsBelgium

At RELYzIT, we don't recruit — we build.
We unite exceptional builders: engineers, architects, creators, across the BENELUX and the GCC.
Vetted through VECTOR7™'s multi-signal evaluation, you evaluate once and carry that credential forever.
This is more than work. This is where builders build the future.

Intro

RELYzIT Talent is seeking a Senior AI Engineer for a high-impact freelance mission with our client, a leading innovator in digital transformation. You’ll join a team at the forefront of AI-driven services, shaping solutions that directly impact both employees and customers. This is your opportunity to architect, build, and operationalize advanced AI services on a modern, hybrid Azure platform—where your expertise will define the future of intelligent public services.

Why This Role Matters (Mission & Outcomes)

Our client is on a mission to deliver robust, scalable AI services that transform how people interact with public systems. As a Senior AI Engineer, you will be instrumental in building and operationalizing Retrieval-Augmented Generation (RAG) applications, ensuring these services are secure, maintainable, and deliver measurable value. Your work will directly influence the success of AI adoption, driving innovation and operational excellence across the organization.

What You’ll Be Doing

  • Designing and implementing end-to-end RAG pipelines, from retrieval strategies to answer generation, ensuring high-quality, contextually relevant outputs.
  • Building and optimizing ingestion pipelines: developing connectors to source platforms, managing data chunking, embedding, and incremental refresh processes.
  • Implementing security trimming and ACL propagation to ensure data privacy and compliance.
  • Orchestrating AI agents, crafting prompt templates, and establishing robust guardrails for safe and reliable AI interactions.
  • Setting up comprehensive evaluation and tracing frameworks: creating offline evaluation sets, defining retrieval and answer-quality metrics, and enabling end-to-end request and agent step tracing.
  • Developing and maintaining Infrastructure-as-Code (IaC) using Terraform, Helm, and Azure DevOps pipelines for seamless deployment and operation of AI services.
  • Instrumenting observability and cost control: monitoring latency, token consumption, run costs, and detecting quality regressions post-model or prompt updates.
  • Leading hypercare and early production phases: analyzing incidents, tuning systems, creating runbooks and documentation, and ensuring smooth handover to operational teams.
  • Collaborating closely with internal architects, engineers, and project teams to deliver solutions that are robust, scalable, and future-proof.

What We’re Looking For

  • Proven expertise in building and deploying AI/ML solutions, with a strong focus on RAG architectures and LLM-based applications.
  • Hands-on experience with hybrid cloud environments, particularly Azure managed services and Kubernetes (AKS).
  • Ownership mindset: you take initiative, drive outcomes, and thrive in environments where your impact is visible and valued.
  • Problem-solving orientation: you approach challenges analytically, design for scale and maintainability, and proactively address risks.
  • Collaborative spirit: you communicate clearly, share knowledge, and elevate the capabilities of those around you.
  • Experience working in agile, cross-functional teams, delivering high-quality solutions under tight timelines.

Technical Skills

  • Azure DevOps (Advanced)
  • Azure Kubernetes Service - AKS (Advanced)
  • Azure OpenAI Service (Advanced)
  • LangChain (Intermediate)
  • LLM / Large Language Models (Advanced)
  • Python (Advanced)
  • RAG (Retrieval-Augmented Generation) (Advanced)
  • Terraform (Advanced)
  • Vector databases (Intermediate)

Language Proficiency

  • Professional proficiency in English is required.
  • Knowledge of French or Dutch is a plus, but not mandatory.

Other Requirements

  • Experience with Infrastructure-as-Code (Terraform, Helm) and CI/CD pipelines (Azure DevOps).
  • Familiarity with agent orchestration frameworks (e.g., LangChain) and open-source AI components.
  • Strong documentation and knowledge transfer skills for effective handover and operational continuity.
  • Availability for partial on-site presence in Brussels, with remote flexibility.
  • Freelance contract for an initial duration of 4 weeks, with potential for extension based on project needs.

About RELYzIT Talent

RELYzIT Talent is dedicated to connecting elite tech builders with missions that matter. We champion a builder-first approach, ensuring every engagement is an opportunity to create, innovate, and leave a lasting impact. Our VECTOR7™ Signal Stack vetting process means you join a community of the best—where your skills are recognized and your contributions shape the future.


Ready to build the future with us? Upload your CV now and join the RELYzIT Talent community of elite builders.
For questions about this mission, contact Henri Couchard, MSP Consultant, at paradigm@pro-unity.com.