EO AI Engineer: Agentic Platforms & Earth Data Tools

Pi School S.r.l.

Roma

On-site

EUR 35,000 - 55,000

Full time

10 days ago
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Benefits offered by this job

Fresh fruit
Pool & spa access
Gym & Pilates
Time for personal projects
Pi Campus events

Job summary

Pi School in Rome is seeking an EO AI Engineer (Agents & Integrations) to join the AI Research team full-time. You will design and implement EVE's agent orchestration, build MCP servers/clients to access EO tools and services, and enable agent-to-agent communication with A2A protocols.

You will help design sub-agents and routing logic, improve latency, and contribute to open-source releases and docs. The role focuses on LangGraph-based orchestration, multimodal EO expansion, and community

Qualifications

  • Hands-on experience with LangGraph to build multi-agent apps beyond simple chains.
  • Experience with MCP servers/tools or integrating MCP into agents.
  • Knowledge of Agent2Agent (A2A) protocol and inter-agent communication.
  • Experience with LLM-based agents and tool-using systems (function calling, multi-step orchestration).
  • Strong Python engineering skills.
  • Excellent proficiency in English.

Responsibilities

  • Design and implement EVE's agent orchestration with LangGraph.
  • Build MCP servers/clients to expose EO tools and services.
  • Implement agent-to-agent communication with A2A protocols.
  • Design specialised sub-agents and routing logic between them.
  • Evaluate agent behaviour for accuracy, robustness, and latency.
  • Follow state-of-the-art in agentic systems and publish prototypes.
  • Contribute tutorials, notebooks, and docs for the ecosystem.

Skills

LangGraph
MCP
A2A protocol
LLM-based agents
Python engineering
English proficiency

Tools

FastAPI
Qdrant

Job description

Pi School in Rome is seeking an EO AI Engineer (Agents & Integrations) to join the AI Research team full-time. You will design and implement EVE's agent orchestration, build MCP servers/clients to access EO tools and services, and enable agent-to-agent communication with A2A protocols.

You will help design sub-agents and routing logic, improve latency, and contribute to open-source releases and docs. The role focuses on LangGraph-based orchestration, multimodal EO expansion, and community

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