ai engineer for production AI solutions

Xebia Data solves real business problems with AI, transforming promising concepts into production-ready solutions that deliver measurable business outcomes for clients. Its work includes demand prediction, energy-saving algorithms, GenAI video labeling, data innovation labs, ML platforms, and AI-driven applications.

• Develop AI and ML applications, from traditional ML models to GenAI solutions and agentic AI systems;
• Take AI and ML solutions into production to generate business value;
• Evaluate solutions rigorously to ensure they deliver real business value;
• Build scalable, testable, robust, and extendable applications;
• Collaborate with data scientists, engineers, business stakeholders, and business users;
• Understand the problems being addressed and the approaches taken by data scientists and business users;
• Build scalable AI solutions that are robust and easy to maintain;
• Work with different clients, environments, systems, and solutions;
• Share knowledge with peers and participate in knowledge-sharing activities.

• Understand the difference between ML and AI;
• Combine ML knowledge with software engineering rigor;
• Have strong coding skills;
• Understand the challenges of building AI solutions at scale;
• Use AI coding tools such as Copilot, Cursor, or Claude effectively without compromising quality;
• Learn quickly and have an entrepreneurial mindset;
• Be interested in the overlap between AI and software or data engineering;
• Be willing to work with different clients and regularly learn new environments;
• Speak Dutch fluently;
• Be interested in CI/CD pipelines, Infrastructure-as-Code, cloud platforms, and GenAI/LLM integration;
• Be able to explain your work and share knowledge with peers;
• Live in the Randstad;
• Not be limited to building models from data; willingness to take models into production is required;
• Not accept spaghetti code and understand what it means;
• Be interested in coding, scripting, and templating.

• Hybrid work at client sites, the Amsterdam Oostenburg office, and from home;
• €5,000 Development budget per year and 6 dedicated development days;
• Conference attendance and speaking do not use vacation time;
• Bi-weekly knowledge-sharing events with dinner;
• GCP, AWS, and Azure sandbox environments;
• Modern, dog-friendly office in Amsterdam Oostendam;
• Physical and mental well-being benefits, plus free healthy lunches and drinks/snacks at the offices;
• Tech budget and monthly mobility budget for a car lease, e-bike lease, or NS Business Card;
• Unlimited book budget;
• Pension plan;
• Fun events and activities including ski trips, BBQs, and cooking workshops.