Senior AI Engineer

h3Function /h3 /brpWe're looking for an experienced Senior AI Engineer to join our client's team and help transform innovative AI concepts into robust, production-ready solutions. You'll play a key role in developing and stabilising advanced AI services that support both internal users and external audiences. Working alongside AI architects, senior engineers, and multidisciplinary teams, you'll take ownership of the technical delivery of complex AI applications, with a strong focus on reliability, security, performance, and long-term maintainability. /p /brh3Key Responsibilities /h3 /brul /brliDesign and develop end-to-end Retrieval-Augmented Generation (RAG) solutions, from information retrieval and document processing to context management and answer generation. /li /brliBuild and maintain data ingestion pipelines, including connectors, document chunking, embedding generation, and incremental data refresh. /li /brliImplement document-level access controls and security mechanisms to ensure that AI-generated responses respect user permissions. /li /brliDevelop agent orchestration workflows, prompt templates, and guardrails to improve the reliability and safety of AI applications. /li /brliDesign and implement evaluation frameworks using offline test sets, retrieval metrics, answer-quality measurements, and end-to-end tracing. /li /brliPrepare production deployment assets using Terraform, Helm, Kubernetes manifests, and Azure DevOps pipelines. /li /brliImplement observability and cost-monitoring mechanisms covering latency, token consumption, operational costs, and performance regressions following model or prompt changes. /li /brliSupport early production deployments through incident analysis, performance tuning, troubleshooting, runbook creation, technical documentation, and operational handover. /li /brliCollaborate with architects and engineering teams to ensure that AI services meet production standards for scalability, security, quality, and operational efficiency. /li /br /ul /brh3Your Profile /h3 /brul /brliProven senior-level experience designing, building, or leading production-grade AI solutions, particularly RAG-based applications. /li /brliStrong hands-on expertise in Python, Large Language Models (LLMs), LangChain, and vector databases. /li /brliExperience with Microsoft Azure AI services, including Azure OpenAI Service and Azure AI Search. /li /brliPractical experience deploying and managing containerised applications using Azure Kubernetes Service (AKS), Kubernetes manifests, and Helm charts. /li /brliSolid knowledge of infrastructure as code and automated delivery pipelines, particularly Terraform and Azure DevOps. /li /brliExperience designing evaluation frameworks for RAG or LLM applications, including retrieval quality, answer accuracy, and regression testing. /li /brliUnderstanding of identity management, document-level security, and access control propagation in AI-powered information retrieval systems. /li /brliFamiliarity with AI service observability, tracing, content safety, API management, and model lifecycle tooling such as MLflow. /li /brliA strong sense of ownership, analytical thinking, and the ability to work independently while collaborating effectively with technical stakeholders. /li /br /ul /brh3Practical Information /h3 /brul /brliLocation: Brussels. /li /brliOn-site presence: 2 to 3 days per week. /li /brliLanguages: Dutch or French, together with English. /li /br /ul /brpIf you're passionate about building production-ready generative AI solutions and enjoy tackling the technical challenges of moving from experimentation to reliable delivery, this is an excellent opportunity to make a tangible impact on the next generation of enterprise AI services. /p /brh3Contactperson Reference /h3 /brul /brliReference #: INW28366 /li /brliPieter Messely /li /br /br /ul