AI Engineer (K10225)

In4Matic; Brussel Hoofdstad; Hybrid; EUR 75,000 - 110,000; Full time

Job summary

In4Matic seeks an AI engineer to design, build, test, and run the foundations for practical artificial intelligence across the organization. You will create AI services, agents, retrieval solutions, model integrations, pipelines, observability, and reusable platform blocks.

Responsibilities include implementing AI services and APIs, building reusable components, and setting up automated test suites. You will apply CI/CD and MLOps practices, support sandbox environments, and ensure production

Qualifications

• Strong hands-on experience as a software/ML engineer.
• Proficiency in 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 reliability.
• Knowledge of public sector contexts is a plus.

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 suites for quality, reliability, safety, performance, and cost.
• Apply CI/CD and MLOps/LLMOps practices for versioning, deployment, configuration, monitoring, and rollback.
• Provide technical support for sandbox environments and proofs of concept.
• Prepare AI solutions for production under architecture, security, and governance requirements.
• Support data and platform teams with privacy-safe test data and data flows.
• Maintain technical documentation, runbooks, and examples for cross-team reuse.
• Analyse operational issues and improve based on logs and feedback.

Skills

Python

Java

APIs & authentication

Containers

CI/CD

LLMs & embeddings

Retrieval & agents

Observability

Security & privacy

Cloud platforms

Tools

Git

Docker / Kubernetes

IaC

API gateways

Job description

Function

Our client is looking for an AI engineer to help design, build, test, and run the technical foundations that make artificial intelligence usable in practice. The assignment focuses on creating AI services, agents, retrieval solutions, model integrations, pipelines, observability, and reusable platform building blocks that can be applied in concrete use cases across the organization.

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 suites to assess quality, reliability, safety, performance, and cost.
• Apply CI/CD and MLOps/LLMOps practices for versioning, deployment, configuration, monitoring, and rollback.
• Provide technical support for sandbox environments and proofs of concept.
• Prepare AI solutions for production in line with architecture, security, and governance requirements.
• Support data and platform teams with privacy-safe test data, data flows, and integrations with existing systems.
• Maintain technical documentation, runbooks, and examples so other teams can reuse the solutions.
• Analyse operational issues and implement improvements based on logs, evaluations, feedback, and usage data.

Technical Skills

• Strong hands-on experience as a software engineer, platform engineer, ML engineer, or in a similar technical role, ideally with 5 to 8 years of experience.
• Very strong programming skills, preferably in 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.
• Strong attention to security, privacy, documentation, and operational reliability.
• Knowledge of the public sector, G-Cloud, or an OISZ context is considered an asset.

Profile

• You stay up to date with emerging trends and enjoy experimenting with innovative AI technologies.
• You can analyse complex challenges and translate them into pragmatic solutions.
• You work smoothly with colleagues from different disciplines, including IT, business, security, and architecture.
• You are able to explain technical concepts clearly to both technical and non-technical stakeholders.
• You are comfortable structuring, visualising, advising, and supporting multidisciplinary decision-making.
• You work in a results-oriented way and help ensure high-quality delivery.

Practical Information

The assignment is based in Brussels, with the possibility of part-time teleworking.

Language requirements: Dutch, English, and French.

• Dutch: active knowledge
• English: passive knowledge
• French: active knowledge

Contactperson & Reference

• Reference #: INW28653
• Geert Roete
• [e-mail]