We are offering two exciting positions as AI Engineers to join our team in building a cutting-edge federated learning platformat the Artificial Intelligence in Medicine lab (www.bcn-aim.org), within the University of Barcelona.  You will contribute to the full lifecycle of development—from research and prototyping to deployment and maintenance in production—working in a fast-paced and collaborative environment.

Key Responsibilities:

•  Develop the core federated learning infrastructure, including:
  • Integration of LLM agents and virtual assistants for end-user interaction and explainability.
  • Implementation of federated multimodal aggregation policies.
• Research and implement novel vision-language models.
• Design federated multimodal aggregation policies for decentralized AI training.
• Develop and deploy the AI platform in production environments with full CI/CD workflows.
• Ensure robust software lifecycle management, including versioning, testing, and documentation.
• Build and maintain Docker-based microservices for scalable and modular deployment.

Requirements: 

Essentials:

• Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Experience in federated learning, LLMs, and virtual assistants.
• Solid understanding of vision-language models and multimodal AI techniques.
• Hands-on experience with Docker, microservices architecture, and CI/CD tools (e.g., GitHub Actions, Jenkins).
• Familiarity with software engineering best practices and production-level AI deployments.
• Good knowledge of English
• Aptitude to work independently and meet deadlines

• Good team spirit and participation to the lab’s scientific life

  Desirable:

• Experience with privacy-preserving machine learning or edge AI.
• Knowledge of XAI (explainable AI) methods.
• Experience in MLOps, system monitoring, and scalability optimization.

• Contributions to open-source AI or machine learning projects.

  We offer:

• A dynamic position in beautiful Barcelona and its Mediterranean climate.
• Research experience within a prestigious university (1st position in Spain).
• Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (10 active projects including an ERC grant).
• An international research environment with a multi-cultural team representing all continents.
• Opportunities to collaborate with international and interdisciplinary collaborators as part of the European projects.

• Flexible working hours, with possibility to telework.

  The research projects:

  You will join our AI for cardiology team, as part of ongoing projects such as AI4HF (https://www.ai4hf.com/) and DataTools4Heart (https://www.datatools4heart.eu/), funded by the European Commission and some coordinated by our lab. In these projects, we are developing new trustworthy AI solutions for personalised medicine approach to tailor the care models in the field of cardiovascular diseases. In particular, we are interested in new AI solutions for risk assessment and patient management. The project will build on a unique set of big data repositories, real-world hospital data, trustworthy AI methods, computational tools and clinical results from major EU-funded projects in cardiology leveraging federated learning. Should you join our team, you will collaborate with several technical and clinical partners within and outside Europe (e.g. in the Netherlands, United Kingdom, Greece, Spain, Belgium, France, Germany, Portugal, Peru, Tanzania, Czechia, Turkey). 

  The Group:

  The successful candidate will join the Artificial Intelligence in Medicine Lab (www.bcn-aim.org), which is an integral part of the University of Barcelona’s Faculty of Mathematics and Computer Science. It is a young and dynamic research lab, highly active in international projects, and composed of >20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and participation in national, European and international projects in biomedical data science and medical AI (e.g. EuCanImage, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF, YOUTHreach). 

  The Institution:

  The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU/Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU).

  Gross salary per year: 32.691,52 €.

  The application period is from 7 to 18 July 2025.