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BrusselsHybrid40 hours/week<3months
A technology company is looking for an AI Engineer to build, test, and manage the technical components that make AI usable within the organization. The role focuses on realizing agents, retrieval solutions, model integrations, pipelines, observability, and platform building blocks. You will support teams in applying these in concrete use cases.
What you do
- Implement AI services, agents, retrieval solutions, and API integrations
- Build reusable components for model access, prompting, context management, evaluation, logging, cost tracking, and error handling
- Set up automated test and evaluation sets for quality, reliability, security, performance
- Apply CI/CD and MLOps/LLMops practices for version control, deployment, configuration, monitoring
- Technically support sandboxes and proofs of concept
- Make AI production-ready according to architecture, security, and governance requirements
- Support data and platform teams with privacy-safe test data, data flows, and links to existing systems
- Maintain technical documentation, runbooks, and examples so that other teams can reuse solutions
- Analyze operational issues and implement improvements based on logs, evaluations, feedback, and usage data
Profile
- Experience as a software engineer, platform engineer, ML engineer, or similar hands-on role
- Strong programming skills, preferably Python and Java
- Experience with APIs, authentication, containers, and automated testing
- Practical knowledge of LLMs, embeddings, retrieval, agents, model APIs, and evaluation methods
- Experience with CI/CD, Git, infrastructure as code, observability, and cloud or container platforms
- Attention to security, privacy, documentation, and operational reliability
- Knowledge of the public sector, G-Cloud, or OISZ context is a plus
- Active knowledge of both Dutch and French
How to apply
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