Stage - Ingénieur(e) Assistant intelligent de création de chaînes de traitements scientifiques géospatiaux - Spatial - Toulouse
Core
Design an AI assistant that converts natural language requests into executable geospatial scientific processing workflows using generative AI and LLMs.
Role type
Intern, Generative AI & Geospatial Workflow Engineer
Builds
Antflow platform (graphical workflow editor, automated chain generation, validation mechanisms)
Domain
Earth Observation, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, TypeScript, React, FastAPI, LLMs, LangChain, LangGraph, Semantic Kernel, Earth Observation standards
Preferred skills
R&D mindset, multi-agent systems, visualization
Technologies
Kubernetes, HPC, Git, OGC API Processes, EO Application Packages (EOAP), Sentinel-1
Responsibilities
Design the AI assistant architecture, implement workflow generation logic, validate compatibility between treatments and data, develop the graphical editor component
Seniority
Intern, Final year engineering student
