Earth Observation AI Engineer

ppPi School is on a mission to empower businesses and professionals to leverage AI’s transformative capabilities. We believe technology should be an enabler, not a barrier, and it should empower individuals and businesses to grow, innovate, and stay connected. We strive for a world where AI and human potential coexist harmoniously, reshaping the way we work, learn, and prosper. /p pBorn in 2017 from the expertise of Translated, an industry pioneer with over two decades of leadership in AI + human translation, Pi School has helped over 100 companies integrate AI solutions to improve their operations, enhance decision-making, and achieve sustainable growth. /p pPi School remains at the forefront of the ever-evolving AI landscape and collaborates with prominent research centres and organisations worldwide, such as the European Space Agency (ESA) and the European Commission, to harness AI for both cutting‑edge research and practical solutions, driving progress in science and beyond. Our approach is founded on purposeful, impactful work, leveraging technology as a force for good. /p pWe are looking for an EO AI Engineer (Agents Integrations) to work in our office in Rome. /p pPi School's AI research team is building EVE (Earth Virtual Expert), an open‑source AI platform for Earth Observation, developed for the European Space Agency. We are looking for an engineer at the intersection of EO data engineering and AI‑powered agents to help design, build, and integrate EVE's connections to the ESA ecosystem: satellite data catalogues, processing platforms (APEx, EarthCODE), Copernicus services, and geospatial tooling. /p h3Project specifics /h3 ul liEVE (Earth Virtual Expert) is being developed by Pi School, with support from Mistral AI and Imperative Space, for ESA Phi‑lab. /li liEVE 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. /li liThe project is fully open source, with the aim of publishing code, models, and documentation across several public venues (for example GitHub, the Hugging Face Hub, and ESA Phi‑lab). /li liCore workstreams: ul liAgentic framework: tool calling, planning, multi‑agent orchestration. /li liMultimodal expansion: satellite imagery understanding. /li liCommunity ecosystem: open tool registry for EO. /li liESA platform integrations: APEx, EarthCODE, CDSE. /li /ul /li liDiscover more at eve.philab.esa.int. /li /ul h3Responsibilities /h3 pYou will be part of Pi School's AI Research team full‑time, connecting AI to real EO data and services. In this role, you will: /p ul liIntegrate EO data and services into EVE (STAC, openEO, Copernicus APIs, imagery, weather) behind natural‑language queries. /li liBuild agentic EO pipelines: route queries, break down tasks, call backends, return coherent answers. /li liDesign and wire specialized EO sub‑agents where needed (for example a data‑retrieval agent over CDSE or SentinelHub). /li liSupport integrations with other ESA EO projects and platforms as scoped with the team. /li liHelp the community ecosystem: short tutorials, notebooks, and docs so others can plug tools into EVE. /li /ul h3Requirements /h3 pHands‑on experience with: /p ul liThe EO/geospatial stack: STAC, openEO, OGC APIs, CDSE or SentinelHub, Google Earth Engine, xarray, rasterio, or similar. You should be comfortable navigating satellite data catalogues and processing pipelines. /li liEO data formats and standards: GeoTIFF, NetCDF, COG, STAC metadata, CWL/OGC Application Packages, FAIR data principles. /li liSolid Python engineering and experience building data‑intensive applications or pipelines. /li liREST API design and integration with external services. /li liDocker and Linux, including cloud or HPC environments. /li liExcellent proficiency in English. /li /ul h3Bonus points if you have experience with: /h3 ul liLLM‑based agents or tool‑using systems (function calling, multi‑step orchestration, prompt engineering for structured outputs). /li liRemote sensing foundation models (Terramind, Prithvi, CLIP‑based EO models). /li liSatellite image processing and analysis. /li liCWL workflow authoring or OGC API Processes. /li liOpen‑source contributions in the EO or AI space. /li /ul h3Our office /h3 pPi School is hosted at Pi Campus, a working environment immersed in nature. Six luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. /p h3Benefits and Perks /h3 pOur working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. /p ul liFresh fruit and snacks /li liAccess to the pool and Turkish bath /li liSports activities: gym and pilates /li liFree time in between your tasks to work on your personal projects /li liAccess to the Pi Campus parties and gatherings /li /ul h3Learn more about our company /h3 h3Diversity /h3 pAt Pi School, we proudly embrace and celebrate each individual’s unique qualities in our team, regardless of race, sexual orientation, gender identity, or other differences. We recognise that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. /p /p #J-18808-Ljbffr