Senior Rust Developer

Fortytwo https://fortytwo.network/ 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.