Artificial Intelligence Engineer

JOB TITLE: AI ENGINEER

LOCATION: 1060 BRUSSELS, BELGIUM

LANGUAGES: ENGLISH, FRENCH,DUTCH

WORK MODE: HYBRID (2 TO 3 DAYS ONSITE PER WEEK)

DURATION: 14/12/2026 - 13/12/2027

FUNCTION

• The AI Engineer builds, tests, and manages the technical components that make AI usable within Client. The feature realizes agents, retrieval solutions, model integrations, pipelines, observability, and platform building blocks and supports teams in applying them in concrete use cases.

RESPONSIBILITIES INCLUDE:

• Implementing 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, safety, performance and cost.
• Apply CI/CD and MLOps/LLMOps practices for version control, deployment, configuration, monitoring, and rollback.
• Provide technical support
• for sandboxes and proofs of concept • Make AI production-ready according to architectural, security and governance conditions.
• Supporting data and platform teams with privacy-secure test data, data flows and links to existing systems.
• Maintain technical documentation, runbooks, and samples so that other teams can reuse solutions.
• Analyze operational issues and make improvements based on logs, evaluations, feedback and usage data.

TECHNICAL COMPETENCIES

• 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.
• Working 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 an asset.

GENERIC COMPETENCIES

• Innovation: You follow the latest trends and experiment with innovative AI technologies.
• Problem-solving skills: You analyze complex issues and translate them into pragmatic solutions.
• Collaboration: You work smoothly with colleagues from different disciplines (IT, business, security, architecture).
• Communication: You can clearly explain technical concepts to both technical and non-technical stakeholders.
• Advising: You are strong in structuring, visualizing, advising and guiding multidisciplinary decision-making.
• Result orientation: You monitor deadlines and ensure quality deliveries.

SKILLS

• AI engineering: working knowledge of LLMs, embeddings, retrieval, agents, model APIs, and evaluation:
• DevOps & platforms: experience with CI/CD, Git, infrastructure as code, observability and cloud or con:
• Hands-on engineering: experience as a software engineer, platform engineer, ML engineer or in a verge:
• Programming & integration: strong programming skills, preferably Python and Java, and experience:
• Security & reliability: attention to security, privacy, documentation and operational reliability.