Artificial Intelligence Engineer

Job description

Development and maintenance of AI solutions, defined as software applications that integrate AI (Natural Language Processing, Machine Learning, Generative AI).

Design and implement of IT architecture for AI solutions under expert understanding of most appropriate AI components, techniques and models, applying modern AI approaches, as well as modern IT architecture practices.

Present AI solutions blueprints to technical and business audiences. Moderate discussions and collect relevant technical and business feedback.

Support implementation of best practices for data, master- and metadata management and modern MLOps.

Training of custom machine learning and deep learning models (including transformer-based architectures) based on structured and unstructured data.

LEVEL OF STUDIES:

Bachelor or Master Degree

SPECIFIC EXPERTISE:

• Excellent knowledge of Python and its core AI/ML/NLP libraries and frameworks (e.g., pandas, OpenAI, spaCy, PyTorch, TensorFlow, Transformers, scikit-learn, NLTK).

• Proven experience with advanced AI/ML techniques including large language models, generative AI architectures, RAG, agentic workflows (OpenAI, LangChain, CrewAI), function calling, MCP, and traditional machine learning algorithms in production environments.

• Strong experience with modern data management and engineering techniques, including data pipelines, metadata/model versioning, and database integration (relational SQL and NoSQL solutions like Elasticsearch, MongoDB, Cassandra).

• Strong experience with cloud computing platforms (AWS, Azure) for deploying, scaling, and securing AI solutions.

• Practical knowledge of modern software engineering and DevOps practices including Git workflows, CI/CD pipelines, containerization (Docker, Kubernetes), and agile methodologies.

• Demonstrated ability to independently develop, test, document, and integrate AI/ML components as part of larger service-oriented architectures.

• Experience with ethical/legal implications of AI systems in enterprise or public sector environments is highly desirable.

Delivery mode : Onsite (Brussels)

Only EU Citizens

Deadline 22.12.25