About the company
Since 2017, DcentraLab has been a pioneering force in Web3 and blockchain development. Expanding beyond its initial product, 2Key, DcentraLab has introduced innovative solutions such as Hord, ChainPort, TokensFarm, and DcentraLab Diligence, with a commitment to ongoing growth. Through a relentless pursuit of cutting-edge technologies, DcentraLab remains at the forefront, shaping the future of decentralized ecosystems and blockchain-based products.
Job Summary
Description
📍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. 📍Work with zk-systems and TLS notarizations to enable verifiable execution and trust guarantees. 📍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. 📍Web3 development background: smart contracts (Solidity/Rust), DeFi protocol integrations, on-chain settlement logic. 📍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). 📍Understanding of cryptography and verification systems (zk proofs, TLSNotary, EIP-1271-style validation). 📍Strong ability to reason about security, decentralization, and performance tradeoffs. 📍Bonus: familiarity with RAG pipelines or AI-enhanced decision-making.
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