AI Software/Data Engineer

Role Description

Qity is seeking a highly skilled AI Software/Data Engineer to join our innovative team. This full-time position is based at our offices in Erpe-Mere. In this role, you will design, develop, and optimise AI-driven solutions, leveraging prompt orchestration frameworks, retrieval-augmented generation (RAG) tools, and knowledge graphs. You will work closely with cross-functional teams to build and enhance intelligent systems tailored for the medical industry.

Responsibilities

• Develop and implement AI-driven applications
• Design and optimise dynamic prompt assembly and chaining for improved AI performance.
• Work with RAG tools such as Neo4j and Protégé to enable intelligent information retrieval and contextual AI reasoning.
• Build and maintain knowledge graphs to structure and enrich AI models.
• Design, implement, and manage ETL pipelines to extract, transform, and load data efficiently for AI systems.
• Architect scalable and high-performance AI solutions that comply with medical industry regulations and standards.
• Collaborate with data scientists, software engineers, and domain experts to integrate AI models into real-world applications.
• Continuously improve AI-driven workflows, conduct testing, and validate models to ensure robustness and reliability.
• Stay up to date with the latest advancements in AI, machine learning, and knowledge representation.

Qualifications

• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field
• Experience in prompt orchestration frameworks (e.g. LangChain, LlamaIndex) to enhance AI-driven applications. 
• Strong programming skills in Python, with experience in frameworks such as PyTorch, TensorFlow, or JAX being a plus.
• Deep understanding of prompt engineering, LLM fine-tuning, and generative AI models.
• Experience in building and optimising knowledge graphs, including ontologies, semantic reasoning, and entity linking.
• Hands-on experience with RAG methodologies, including vector databases, graph-based retrieval, and document indexing.
• Expertise in ETL pipeline development, handling structured and unstructured data, and managing data lakes and warehouses.
• Familiarity with cloud computing platforms such as AWS, Azure, or GCP for AI model deployment and scaling.
• Strong understanding of database management systems, including SQL, NoSQL, and graph databases (e.g. Neo4j, ArangoDB, or RDF stores).
• Excellent problem-solving skills with a strong mathematical and algorithmic foundation.
• Ability to work effectively in an agile, multidisciplinary environment.
• Proficiency in English is required; Dutch is a plus.

At Qity, we are committed to the professional development of our team. The successful candidate will receive comprehensive training and support, gaining valuable experience in AI-driven medical technologies. If you are passionate about AI, data engineering, and cutting-edge prompt orchestration, we encourage you to apply for this opportunity.