AI Jobs in Web3

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Job Position Company Posted Location Salary Tags

Dcentralab

Remote

$72k - $75k

Alliedglobalmarketing

Remote

$63k - $66k

Bitso

Latin America

$115k - $132k

Binance

Bangkok, Thailand

Circle

Hong Kong, Hong Kong

$101k - $165k

Circle

Hong Kong, Hong Kong

$91k - $112k

Genies

Remote

$36k - $56k

Token Metrics

Houston, TX, United States

$88k - $119k

Kraken

United States

$96k - $153k

Binance

Hong Kong, Hong Kong

Tether

Madrid, Spain

$115k - $138k

Zscaler

Remote

$164k - $235k

Tether

Seoul, South Korea

$126k - $156k

Tether

Madrid, Spain

$90k - $150k

Dcentralab
$72k - $75k estimated
Remote
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Description

We are looking for a AI Web3 Backend Engineer with deep expertise in DeFi protocolsbackend 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.

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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Apply Now

What an AI Developer does?

An AI developer is someone who creates and builds artificial intelligence systems

Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems

Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.