Senior Solidity Developer

Posted 4hrs ago

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Job Description

Senior Solidity Developer building secure, scalable smart contracts for Fortytwo’s decentralized AI protocol on Monad and EVM chains. Supporting decentralized inference infrastructure through audits, testing, and optimization.

Responsibilities:

  • Design, develop, and deploy smart contracts on Monad and other EVM-compatible blockchains.
  • Ensure smart contract security and efficiency through best practices and rigorous testing.
  • Collaborate with cross-functional teams to integrate smart contracts with the broader Fortytwo ecosystem.
  • Perform code reviews, audits, and optimizations to ensure protocol reliability and scalability.
  • Stay updated with blockchain technology, decentralized AI, and web3 tools.

Requirements:

  • 3+ years of professional experience in Solidity development.
  • Proven track record of deploying and maintaining secure, gas-efficient smart contracts on Ethereum.
  • Strong understanding of blockchain protocols, decentralized applications (dApps), and EVM mechanics.
  • Familiarity with Hardhat, Truffle, and Foundry for smart contract development and testing.
  • Experience with code audits and security practices, including reentrancy protection and handling edge cases.
  • Preferred: Experience with Layer-2 scaling solutions and cross-chain development.
  • Preferred: Familiarity with DeFi protocols and tokenomics.
  • Preferred: Knowledge of swarm intelligence concepts or decentralized AI systems.

Benefits:

  • Engage in meaningful AI research – Work on decentralized inference, multi-agent systems, and efficient model deployment with a team that values rigorous, first-principles thinking.
  • Build scalable and sustainable AI – Design AI systems that reduce reliance on massive compute clusters, making advanced models more efficient, accessible, and cost-effective.
  • Collaborate with a highly technical team – Join engineers and researchers who are deeply experienced, intellectually curious, and motivated by solving hard problems.
  • Research-driven environment
  • Autonomy in foundational AI challenges