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 and implement high-performance, secure, and scalable peer-to-peer networking protocols in Rust.
- Develop distributed systems that enable decentralized AI nodes to communicate and collaborate effectively.
- Ensure robust fault-tolerance and resilience in networked systems through testing and optimization.
- Collaborate with blockchain engineers, protocol developers, and AI researchers to integrate the network layer with Fortytwo's decentralized AI stack.
- Optimize performance for diverse computing environments, including edge devices and cloud systems.
- Contribute to open-source projects and documentation that advance Fortytwo's mission.
Requirements:• 3+ years of experience in Rust development, with a focus on distributed systems or peer-to-peer networking.
- Strong understanding of networking protocols such as TCP/IP, UDP, WebRTC, and libp2p.
- Experience in building scalable and resilient distributed systems.
- Proficient in designing systems with security and fault-tolerance in mind.
- Familiarity with decentralized technologies, including blockchain, consensus algorithms, and cryptographic techniques.
Preferred:• Experience with WebAssembly (WASM) and cross-platform Rust development.
- Familiarity with decentralized AI concepts and swarm intelligence.
- Knowledge of containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes).
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.