AI Backend Engineer – AI Agent Economy
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Job Description
AI Web3 Backend Engineer building the infrastructure for multi-agent workflows in the AI x Web3 ecosystem. Collaborating with experts to implement secure and efficient on-chain protocols and systems.
Responsibilities:
- Architect and implement the Traia.io AI Agent Marketplace backend and deployment infrastructure.
- Build and maintain multi-agent workflows: utility agents, solver agents, settlement agents, etc.
- Integrate MCP servers, A2A protocols, and on-chain execution environments.
- Develop secure agent deployment principles (sandboxing, containerization, notarization).
- Implement DeFi trading strategies through on-chain agent logic and Web3 integrations.
- Collaborate with researchers, smart contract engineers, and AI experts to shape AI-on-chain standards.
Requirements:
- Backend engineering expertise: strong experience in designing and deploying distributed systems.
- Agentic architectures: familiarity with multi-agent systems, MCP servers, A2A protocol, and autonomous workflow orchestration.
- Solid knowledge of deployment architectures for agent-based systems (Docker, Kubernetes, enclaves, secure containerization).
- Familiarity with RAG pipelines or AI-enhanced decision-making.
- Web3 development background: smart contracts (Solidity/Rust), DeFi protocol integrations, on-chain settlement logic.
- Strong ability to reason about security, decentralization, and performance tradeoffs.
Benefits:
- The chance to build foundational infrastructure for the AI x Web3 ecosystem
- Work on cutting-edge multi-agent frameworks and verification systems
- A highly collaborative environment of engineers, researchers, and builders pushing the frontier
- Remote-first culture with flexible collaboration
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