What you will do
You will build, test and manage the technical components that make AI usable within a Belgian public-sector organisation. You will implement agents, retrieval solutions, model integrations, pipelines, observability and platform building blocks, and support teams in applying these to concrete use cases.
Your responsibilities include:
- Implementing AI services, agents, retrieval solutions and API integrations
- Building reusable components for model access, prompting, context management, evaluation, logging, cost tracking and error handling
- Setting up automated test and evaluation sets for quality, reliability, security, performance and cost
- Applying CI/CD and MLOps/LLMOps practices for version control, deployment, configuration, monitoring and rollback
- Providing technical support for sandboxes and proofs of concept
- Making AI production-ready according to architecture, security and governance requirements
- Supporting data and platform teams with privacy-safe test data, data flows and integrations with existing systems
- Maintaining technical documentation, runbooks and examples so that other teams can reuse solutions
- Analysing operational issues and implementing improvements based on logs, evaluations, feedback and usage data
What we are looking for
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
- 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 government IT context is an asset
Generic competencies
- Innovation: you follow the latest trends and experiment with innovative AI technologies
- Problem-solving: you analyse complex questions and translate them into pragmatic solutions
- Collaboration: you work smoothly with colleagues from different disciplines (IT, business, security, architecture)
- Communication: you can explain technical concepts clearly to both technical and non-technical stakeholders
- Advisory: you are strong in structuring, visualising, advising and guiding multidisciplinary decision-making
- Results-oriented: you monitor deadlines and ensure quality deliverables
Languages
- Dutch: active knowledge
- French: active knowledge
- English: passive knowledge
The setting
This assignment runs for 12 months, starting in December 2026. The work location is Brussels, with hybrid working arrangements.
As part of the selection process, you will be asked to submit a document of maximum two pages outlining your vision on how the organisation can deploy artificial intelligence to create concrete added value for its services and internal operations. The emphasis should be on the technological implementation and the contribution you can make as an AI Engineer to designing, developing and implementing usable AI solutions.
After CV review, a shortlist of 3-5 candidates will be drawn up. These candidates will be invited for an interview to evaluate their technical and generic competencies as well as their language skills. A ranking will then be established.
How you join us
You can join us for this assignment as a freelancer or as an employee of HumanInTech. Same role, same team.
If you join as an employee, your employment continues beyond this assignment. When it ends, we’ll work together to find your next assignment.