Stage - Maitrise Technique Système - Défense et Sécurité - Le Plessis Robinson / Rungis
Core
Design an AI assistant using RAG to query technical heritage (specs, architectures, ICDs, requirements, project deliverables, product documentation, procedures, DTUs, training materials, configurations) for the military air traffic control and communication system.
Role type
Intern (End of Studies) - Generative AI / RAG Engineer
Builds
Specialized AI agents for technical analysis (architecture, deployment, MCO, configuration, obsolescence) within the military air traffic control domain.
Domain
Defense & Security / Military Air Traffic Control Systems
Deliverable
production ML models
Required skills
Generative AI, RAG (Retrieval-Augmented Generation), Semantic models, Knowledge bases, Technical documentation analysis
Preferred skills
Expertise in military air traffic control systems, Ability to leverage senior expert knowledge
Technologies
RAG frameworks, Semantic search engines, Knowledge graph tools
Responsibilities
Define the AI assistant architecture, Query and synthesize technical heritage, Develop specialized agents for specific technical domains
Seniority
Intern (6 months)