Fortytwo is a decentralized AI protocol on Monad that leverages idle consumer hardware for swarm inference. It enables Small Language Models to achieve advanced multi-step reasoning at lower costs, surpassing the performance and scalability of leading models.
Responsibilities:Design, develop, and deploy smart contracts on Monad and other EVM-compatible blockchains.
Ensure the security and efficiency of smart contracts by implementing best practices and conducting rigorous testing.
Collaborate with cross-functional teams to ensure seamless integration of smart contracts with the broader Fortytwo ecosystem.
Perform code reviews, audits, and optimizations to ensure the reliability and scalability of the protocol.
Stay updated with the latest developments in blockchain technology, decentralized AI, and web3 tools.
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 tools like Hardhat, Truffle, and Foundry for smart contract development and testing.
Experience with code audits and security practices (e.g., reentrancy protection, handling edge cases).
Experience with Layer-2 scaling solutions and cross-chain development.
Familiarity with DeFi protocols and tokenomics.
Knowledge of swarm intelligence concepts or decentralized AI systems.
At Fortytwo, we are building a research-driven, decentralized AI infrastructure that prioritizes scalability, efficiency, and sustainability. Our approach moves beyond centralized AI constraints, applying globally scalable swarm intelligence to enhance LLM reasoning and problem-solving capabilities.
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.
We’re looking for individuals who thrive in research-driven environments, value autonomy, and want to work on foundational AI challenges.
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