AI Engineer with French

Daily tasks: - Design & Build: Develop end-to-end GenAI applications, specialized AI agents, and custom RAG services tailored to complex business needs. - API Integration: Seamlessly integrate modern Large Language Models (LLMs) and vector databases into existing system architectures via RESTful APIs and microservices. - Prototyping to Industrialization: Move rapidly from Proof of Concept (PoC) and prototype stages to reliable, scalable, production-ready enterprise solutions. - CI/CD & MLOps: Establish and maintain automated CI/CD pipelines for deployment, testing, monitoring, and performance evaluation of AI workflows. - Documentation: Produce clean, scalable code and maintain clear technical documentation for architecture, API specifications, and operational processes. - Cross-functional Collaboration: Partner closely with international product teams, software developers, and stakeholders—communicating fluently in both English and French. Languages French: Minimum B2 required ; C1/C2 or Native preferred. English: Professional working proficiency (B2/C1+). Technical Skills & Experience Proven experience as an AI Engineer, Machine Learning Engineer, or Software Engineer with a focus on Generative AI. Deep hands-on experience building RAG architectures , enterprise assistants , and multi-agent systems (e.g., using frameworks like LangChain, LlamaIndex, AutoGen, or similar). Strong API design and integration skills (REST APIs, WebSockets, Python/FastAPI/Node.js). Hands-on experience with modern CI/CD tooling (e.g., GitHub Actions, GitLab CI, Docker, Kubernetes) applied to AI deployment pipelines. Demonstrated ability to scale and industrialize PoCs into secure, stable, and high-performance production systems. Strong commitment to writing clean code, unit/integration testing, and maintaining technical documentation. Must have: AI, Machine learning, API, REST API, Python, FastAPI, GitHub, GitLab CI, Docker, Kubernetes, Clean Code, Integration test