What you'll do:

📍Lead the end-to-end design and development of core AI systems that enable collective learning and shared memory among autonomous agents. 📍Architect and implement scalable distributed infrastructure for capturing, validating, and surfacing agent experiences across complex networks at scale.. 📍Drive innovation in protocol-level mechanisms for memory curation, knowledge consolidation, and token-incentivized participation across mutually distrusting agents. 📍Build frameworks and tooling that allow agents to transform episodic episodic experiences and action trajectories into reusable, network-wide intelligence. 📍Collaborate closely with the CTO to operationalize cutting-edge work in reinforcement learning, LLMs, and multi-agent coordination into production-grade systems. 📍Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers.

What you'll bring:

📍Previous experience in AI architectures and infrastructure, with a proven track record of delivering complex software platforms and AI-native products. 📍Proven track record of shipping production systems or prototypes at high velocity, ideally in startup or research contexts where speed and adaptability are paramount. 📍Deep expertise in Generative AI, multi-agent systems, LLMs, end-to-end MLOps, and AI infrastructure. Exposure to Deep Learning, Reinforcement Learning, federated learning, AI evaluation or ML fundamentals is highly beneficial. 📍Active interest and awareness of SOTA in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration.

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.