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
Research & Development (R&D) Engineering Intern
Builds
Antflow platform, a service transforming scientific workflows into automated, deployable processing chains on Kubernetes, HPC, and cloud infrastructures.
Domain
Earth Observation, Geospatial Data Processing, Generative AI
Deliverable
production ML models
Required skills
Python, TypeScript, React, FastAPI, LLMs, LangChain, LangGraph, Semantic Kernel, Earth Observation standards (OGC API Processes, EOAP)
Preferred skills
Multi-agent systems, Graphical workflow editors, Natural language processing
Technologies
Python, TypeScript, React, FastAPI, LangGraph, LangChain, Semantic Kernel, Kubernetes, HPC
Responsibilities
Design the AI assistant combining a graphical workflow editor with generative AI; Identify relevant data and search available algorithms based on user input; Analyze algorithm constraints and propose processing chains; Generate executable workflows; Explain system choices.
Seniority
Intern (6 months, final year engineering student)