AI Engineer

You start from a business problem: think of a stack of documents being processed manually, a customer service team drowning in emails, or a process that takes up too much time… and translate this into the most suitable architecture. You then develop the AI solution: sometimes this is a custom solution, sometimes a scalable platform that works across multiple clients or use cases. You make that choice consciously and reasoned.

In practice, this means:

• Working together with clients and internal teams to properly understand their needs and processes, and to (help) translate these into concrete AI and ML solutions.

• Designing and developing AI applications, with a strong focus on Large Language Models (LLMs) and Generative AI. You apply techniques such as prompt engineering and RAG to build reliable, pragmatic and high-performing solutions that meet specific client needs and use cases.

• Developing solutions using Python and relevant AI/ML frameworks (e.g. Scikit-learn, TensorFlow and PyTorch), and integrating AI functionality into broader applications and processes, including via APIs.

• Designing technical architectures for AI/ML solutions, making deliberate choices around modular components, integrations, scalability, reliability, security, manageability and cost efficiency. You consider not only what works technically, but also what is appropriate and sustainable for the specific use case.

• Building robust and scalable AI/ML pipelines based on that architecture and subsequently bringing them into production: from proof of concept to reliable deployment in cloud environments such as Azure — in short, MLOps from A to Z.

• Combining GenAI with classical Machine Learning techniques where relevant (e.g. classification, regression, clustering or time series analysis). You choose the technique that best fits the problem, rather than treating AI or LLMs as a goal in themselves.

• Holds a master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field.

• Can demonstrate a few years of relevant work experience.

• Has practical experience with LLMs and GenAI tools and techniques.

• Has extensive deployment experience with cloud platforms such as Microsoft Azure, reliably bringing AI models into production and maintaining them.

• Is proficient in Python and has experience building and maintaining APIs.

• Has a strong sense of business context and naturally brings it into technical decision-making.

• Communicates clearly in Dutch and English, for both technical and non-technical audiences. Knowledge of French is an asset.

• Is proactive, curious and a team player who enjoys working with various stakeholders.

💸 An attractive salary package including additional benefits (such as an electric company car, laptop, insurance, sports and welfare initiatives, etc.)

💪🏼 The opportunity to work independently on leading projects, showcasing and developing your talents

🎓 Extensive training opportunities to become an expert in your field and always stay up-to-date with the latest AI trends

👥 An entrepreneurial and innovative company culture where customer focus, knowledge sharing and collegiality are key

👩🏼‍💻 Working within a modern holacracy framework that encourages self-organization and agility

💬A culture of continuous feedback focused on personal and professional growth

🕦Flexible working hours, inspiring offices and the opportunity to work from your own home office

💡 Inspiring and challenging events throughout the year