The role involves designing and building robust, scalable products by implementing Generative AI algorithms and solutions across various industries. The engineer acts as a bridge between data scientists and platform engineers to integrate advanced model capabilities into applications. Responsibilities include researching, implementing, and optimizing AI systems while managing the entire workflow from prototyping to production. The position requires balancing model performance, security, compliance, and efficiency to deliver business-centric solutions. Additionally, the role involves monitoring production performance and documenting methodologies to support 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 expertise 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.