AI Engineer (K10225)

In4Matic; Sint-Gillis; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

In4Matic in Brussels is seeking an AI engineer to design, build, test, and run the technical foundations for practical AI services. You will create AI services, agents, retrieval solutions, and model integrations across the organization, with an emphasis on reusable platform components and governance.

The role covers CI/CD, MLOps/LLMOps, observability, and production readiness, including data privacy, security, and cross-team collaboration.

Qualifications

• Strong hands-on experience as a software/ML engineer or platform engineer.
• Very 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.
• Strong attention to security, privacy, documentation, and operational reliability.
• Knowledge of the public sector, G-Cloud, or an OISZ context is considered an asset.

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.

Skills

Python

Java

LLMs / embeddings

APIs & integrations

CI/CD

Tools

APIs

Containers

IaC

Observability

Job description

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

As part of the application, candidates are asked to submit a short document of up to two pages outlining their vision for how artificial intelligence can create value for the organization’s services and internal operations, with a focus on the technical implementation and the contribution they can make as an AI engineer.

Contactperson & Reference

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