AI Web3 Backend Engineer – AI Agent Economy

We are looking for a AI Web3 Backend Engineer with deep expertise in DeFi protocols, backend engineering, and agentic architectures. You will play a pivotal role in designing and building the marketplace of AI agents, enabling them to collaborate, execute multi-agent workflows, and securely manage funds on-chain.This role requires someone who is as comfortable deploying large-scale backend systems as they are with smart contract engineering and the next-gen agent-to-agent (A2A) protocols that power AI-native Web3 applications.Key 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.

What We Offer

• 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.