h3About Pi School /h3 pPi 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, building the agentic layer at the heart of EVE. In this role, you will: /p ul liDesign and implement EVE's agent orchestration with LangGraph: planning, tool calling, state and memory management, and multi-agent workflows. /li liBuild and maintain MCP servers and clients so EVE can use EO tools and services (data catalogues, processing platforms, community tools) through a common interface. /li liImplement agent-to-agent communication with A2A, so EVE can delegate to specialised sub-agents and interoperate with agents from other ESA projects and partners. /li liDesign specialised sub-agents (for example a data-retrieval agent over CDSE)



and the routing logic between them. /li liEvaluate and improve agent behaviour: tool-use accuracy, task success, robustness, and latency. /li liFollow the state of the art in agentic systems and turn promising ideas into working prototypes, open releases, and publications. /li liHelp the community ecosystem: short tutorials, notebooks, and docs so others can plug tools and agents into EVE. /li /ul h3Requirements /h3 pHands-on experience with: /p ul liLangGraph: building stateful, multi-step or multi-agent applications beyond simple chains. /li liModel Context Protocol (MCP): writing MCP servers and/or integrating MCP tools into agents. /li liAgent2Agent (A2A) protocol: agent cards, task delegation, and communication between independent agents. /li liLLM-based agents and tool-using systems more broadly (function calling, structured outputs, multi-step orchestration). /li liSolid Python engineering. /li liExcellent proficiency in English. /li /ul h3if you have experience with: /h3 ul liBackend development and API design. /li liFastAPI. /li liQdrant or other vector databases. /li liCloud compute or HPC environments. /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 h3Our offer /h3 pBased on a standard level of experience, the offered salary typically ranges between €35.000,00 and €55.000,00. The actual package depends on factors such as location, scope of responsibilities, and performance. Compensation generally grows quickly as experience l

📌 AI Research Engineer (Roma)
🏢 Pi School
📍 Roma