AI Web3 Backend Engineer – AI Agent Economy
5 days ago
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 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.
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