AI Engineer (Belgium)
Description
DOES THIS SOUND LIKE YOU?
AI is your playground, engineering is your toolkit, and turning ambitious ideas into production systems is your idea of fun. Sound familiar? Then we might just be looking for you!
We’re building an AI team in Belgium — and we want you on it. From our office right in the heart of Antwerp, you combine AI expertise with strong software engineering skills to build scalable solutions that deliver real, measurable business value for some of the country’s most innovative clients. Robust model deployment pipelines, cutting-edge GenAI applications, agentic AI systems — you turn promising concepts into production-ready solutions with the latest technology in your hands.
And you won’t do it alone. You’ll work in cross-functional teams with data engineers, architects, and business users and tap into the wider Xebia network of software engineering and cloud experts whenever a challenge calls for it. Together, you turn data into value while keeping the bar high on quality, scalability, and maintainability
WHAT WE ARE LOOKING FOR
At Xebia, we solve real business problems with AI. As an AI Engineer, you are a hands-on technical contributor who helps take AI solutions from an idea to production. You collaborate closely with business users to understand the problem being addressed and identify the shortest path from data to value. Your engineering skills enable you to create solutions that are robust, scalable, testable, maintainable, and easy to extend.
Responsibilities and tasks
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Building production-ready AI solutions that generate measurable business value.
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Developing scalable deployment pipelines using modern cloud and MLOps / LLMOps practices.
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Creating cutting-edge GenAI applications and agentic AI systems.
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Rigorously evaluating AI solutions to ensure they provide real value rather than remaining impressive demonstrations.
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Working with CI/CD pipelines, Infrastructure as Code, cloud platforms, and GenAI or LLM integrations.
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Collaborating with engineers, data scientists, business users, and other stakeholders throughout the development process.
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Using AI coding tools such as Copilot, Cursor, or Claude to work more effectively without compromising quality.`
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Sharing your knowledge and using the collective expertise of your Xebia colleagues to solve challenging problems.
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Depending on your experience, you may take the lead on technical decisions and coach other engineers as they develop their expertise.
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Working with different clients, environments, systems, and business challenges.
Examples of solutions delivered by Xebia’s AI Engineers include:
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Building a Market Intelligent Assistant (multi-agent system) that is used in practice and already delivers business value.
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Developing an LLM-based data-extraction solution that captures unstructured information from historical documents.
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Realizing an AI-powered self-service data onboarding solution that guides users through data preparation, validation, and enrichment using agent-based workflows.