Apprentissage ingénieur AI Developer ( H/F)

**Job Description** **Description \& Requirements** **About The Project** We are developing SAM (Smart Assistant for Maintenance), an AI-powered assistant designed to help maintenance teams quickly access Standard Operating Procedures (SOPs) using natural language queries. SAM will leverage modern AI technologies such as Retrieval-Augmented Generation (RAG), local Large Language Models, and semantic search to transform how technical documentation is accessed and used in daily operations. **The Role** We are looking for an AI Engineer / Developer to design, build, and deploy the SAM solution. You will work on integrating local AI models, building document retrieval pipelines, and creating a user-friendly interface that enables maintenance teams to interact with SOP documentation efficiently. **Qualifications** **Key Responsibilities** * Design and implement an AI assistant using RAG architecture * Integrate local LLMs (e.g., via Ollama or equivalent solutions) * Build document ingestion and semantic search pipelines * Implement a secure internal knowledge database for SOP documents * Develop a simple question-answer interface for end users * Ensure answers are traceable to source documents * Optimize system performance, reliability, and security **Required Skills** * English profesionnal * Strong Python development experience * Experience working with AI/LLM solutions and open models (e.g., models released by Meta) * Knowledge of Retrieval-Augmented Generation, embeddings, and vector databases (e.g., Chroma or similar) * Familiarity with LLM orchestration tools such as LangChain * Experience processing technical documents (PDFs, manuals, procedures) * Ability to build lightweight interfaces (e.g. web, mobile or reactive) * Understanding of secure or on-premise deployments **Nice to Have** * Experience in manufacturing, maintenance, or industrial environments * Experience deploying AI solutions in secure corporate infrastructure * Knowledge of knowledge-management or documentation systems What Success Looks Like * Maintenance teams can retrieve SOP information through natural language queries * Answers are reliable, grounded in internal documentation, and traceable * SOP search time is significantly reduced * The system is scalable to thousands of documents **Why Join This Project?** * Work on a real-world industrial AI application * Build a system used directly by operational teams * Help shape how AI improves knowledge access in manufacturin Grow and develop your skills in a exigent environement **Le poste est uniquement en apprentissage pour 1 an, sur le site industriel.**