Apprentissage ingénieur AI Developer ( H/F)

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.

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 manufacturing

Grow and develop your skills in a exigent environement

Le poste est uniquement en apprentissage pour 1 an, sur le site industriel.