The role involves designing and building robust, scalable products by implementing algorithms and solutions across various industries. The engineer serves as a bridge between data scientists and platform engineers to deploy generative AI technology. Responsibilities include researching, implementing, and optimizing AI systems while managing the entire workflow from prototyping to production. The engineer will work with foundational models and application frameworks to deliver cost-effective, business-centric solutions. Additionally, the position requires monitoring model performance, ensuring compliance with regulations, and documenting methodologies for knowledge sharing.

Candidates must hold a Master's degree in computer science, engineering, or a related field. The role requires strong programming proficiency in Python and experience with major generative AI frameworks like LangChain or LlamaIndex. Applicants need a background in NLP, NLU, vector embedding, semantic search, and advanced prompting techniques. Furthermore, fluency in both French and professional English is mandatory, alongside the ability to communicate complex technical concepts to diverse stakeholders.