Earth Observation AI Engineer
Pubblicato il 17-08-2026 - Educazione, formazione e pedagogia in Roma
EO AI Engineer (Agents & Integrations)
Office location: Rome, Italy – Pi Campus. Full-time position.
Project specifics
EVE (Earth Virtual Expert) is being developed by Pi School, with support from Mistral AI and Imperative Space, for ESA Phi-lab.
EVE is evolving from a text‐based EO assistant into a multimodal, agentic platform under ESA Phi-lab, serving as Europe's main knowledge nexus between Earth AI models, data, tools, and resources.
The project is fully open source, with the aim of publishing code, models, and documentation across several public venues (GitHub, Hugging Face Hub, ESA Phi‐lab).
Core workstreams:
Agentic framework: tool calling, planning, multi‐agent orchestration.
Multimodal expansion: satellite imagery understanding.
Community ecosystem: open tool registry for EO.
ESA platform integrations: APEx, EarthCODE, CDSE.
Discover more at eve.philab.esa.int.
Responsibilities
Integrate EO data and services into EVE (STAC, openEO, Copernicus APIs, imagery, weather) behind natural‐language queries.
Build agentic EO pipelines: route queries, break down tasks,
call backends, return coherent answers.
Design and wire specialized EO sub‐agents where needed (for example a data‐retrieval agent over CDSE or SentinelHub).
Support integrations with other ESA EO projects and platforms as scoped with the team.
Help the community ecosystem: short tutorials, notebooks, and docs so others can plug tools into EVE.
Requirements
The EO/geospatial stack: STAC, openEO, OGC APIs, CDSE or SentinelHub, Google Earth Engine, xarray, rasterio, or similar. Comfortable navigating satellite data catalogues and processing pipelines.
EO data formats and standards: GeoTIFF, NetCDF, COG, STAC metadata, CWL/OGC Application Packages, FAIR data principles.
Solid Python engineering and experience building data‐intensive applications or pipelines.
REST API design and integration with external services.
Docker and Linux, including cloud or HPC environments.
Excellent proficiency in English.
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