AI Engineer (K10225)

About the Position

We are seeking an AI Engineer (K10225) to join our team in Brussels, Belgium. This role involves building, testing, and managing the technical components that make AI usable within SFPD. The AI Engineer will realize agents, retrieval solutions, model integrations, pipelines, observability, and platform building blocks, and support teams in applying these in concrete use cases.

Responsibilities

• 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, and cost.
• Apply CI/CD and MLOps/LLMOps practices for version control, deployment, configuration, monitoring, and rollback.
• Technically support sandboxes and proofs of concept.
• Make AI production-ready according to architecture, security, and governance conditions.
• Support data and platform teams with privacy-safe test data, data flows, and connections to existing systems.
• Maintain technical documentation, runbooks, and examples so other teams can reuse solutions.
• Analyze operational issues and implement improvements based on logs, evaluations, feedback, and usage data.

Requirements

• Roles: Application Engineer (Confirmed)
• Languages:
  • French: Active knowledge
  • English: Passive knowledge
  • Dutch: Active knowledge
• Skills:
  • AI-engineering: Practical knowledge of LLMs, embeddings, retrieval, agents, model APIs, and evaluation (Junior)
  • Security & reliability: Attention to security, privacy, documentation, and operational reliability (Junior)
  • Programming & integration: Strong programming skills, preferably Python and Java, and experience (Confirmed)
  • Hands-on engineering: Experience as a software engineer, platform engineer, ML engineer, or similar hands-on role (Confirmed)
  • DevOps & platforms: Experience with CI/CD, Git, infrastructure as code, observability, and cloud or container platforms (Junior)

Nice to Have

• Experience as a software engineer, platform engineer, ML engineer, or similar hands-on role (5-8 years)
• 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

We Offer

• Competitive salary
• Opportunity to work part-time remotely
• Professional growth opportunities

About the Company

Join our team in Brussels, Belgium, and contribute to making AI a valuable asset for our pension services and internal operations. We are looking for someone who can clearly explain technical concepts to both technical and non-technical stakeholders and who is passionate about the latest trends and innovative AI technologies.

Application Process

To apply, submit a document of up to 2 pages outlining your vision on how the Federal Pension Service can use artificial intelligence to create concrete added value for its pension services and internal operations. Emphasize the technological implementation and the contribution you can make as an AI Engineer in designing, developing, and implementing useful AI solutions.

After receiving the CVs, they will be analyzed, and a shortlist of 3-5 candidates will be established based on the criteria set in the ProUnity contract. These candidates will be invited for an interview where their technical, generic competencies, and language skills will be evaluated. A ranking will then be established.

Apply now and be part of our innovative team!