Senior Solidity Developer- job post

March 10, 2026

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Job Description

4.54.5 out of 5 stars

United States•Remote

Full-time

Job details

Job type

  • Full-time

Full job description

company 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 company , 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.