Join a cutting-edge project within the Center of Excellence for Artificial Intelligence, supporting the development of transformative medicines in Pharmaceutical Research and Early Development (pRED). You will contribute to the "Target Evaluator", a GenAI-powered multi-agent tool developed in collaboration between Translational Medicine Neuroscience and Data & Analytics teams. The project, active since Q3/2024, is transitioning from MVP to a production-grade solution.
This role offers a unique opportunity to work in a multidisciplinary environment focused on leveraging AI to address unmet healthcare needs and accelerate drug discovery and development.
responsibilities :
Deliver agile software development services in alignment with the "Target Evaluator" project plan
Support the team with technical consulting and engineering guidance
Contribute to the design, implementation, and optimization of a GenAI multi-agent system
Develop and maintain RESTful APIs for scalable and reliable service interaction
Implement CI/CD pipelines, preferably using GitLab and Kubernetes
Apply ML engineering practices to support data-driven model development and deployment
requirements-expected :
Education: Bachelor’s degree or higher in Computer Science, Engineering, or a related field
Experience: ~5 years of professional experience in software engineering or ML engineering
Programming: Strong proficiency in Python and solid understanding of software development best practices
APIs: Proven experience in designing and implementing RESTful APIs
DevOps/CI-CD: Familiarity with GitLab, GitOps, and Kubernetes
ML Engineering: Experience with ML engineering or MLOps practices
GenAI: Understanding of Large Language Models (LLMs) and multi-agent systems from an engineering perspective
