Fortytwo Jobs

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.

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 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).

Preferred:

• 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.

Why Work with Us:

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.