Bio is a decentralized science protocol that helps launch and grow AI-driven biotech research. It enables scientists to raise funds, create value from their work, and distribute that value directly to their communities. Since 2023, Bio has directed over $50m to global researchers, offering an alternative to traditional pharma funding. Backed by investors like Binance Labs, Northpond Ventures, and Animoca Brands, Bio accelerates real-world therapeutics across longevity, brain health, fertility, psychedelic science, and more. About the role We're building next-generation infrastructure for decentralized science and are looking for a Core Engineer who has successfully built AI agent systems or complex research infrastructure from scratch. This is a foundational role where you'll own the design, architecture, and implementation of the core systems that power our AI agents and coordination protocols. You'll work closely with product, research, and science teams to shape the technical direction of Bio and ensure our systems are reliable, performant, and ready to scale globally. Responsibilities Architect and build high-performance AI agent infrastructure from the ground up Design and implement on-chain coordination systems (funding mechanisms, governance, research incentives, token flows) Build fault-tolerant backend services for agent orchestration, data pipelines, and integration with external systems (cloud labs, bio-databases, CROs) Optimise system performance, throughput, and reliability under real-world research workloads Lead technical decisions around system design, data models, and scaling strategy Collaborate closely with product and science teams to translate research requirements into production systems Establish best practices for code quality, testing, observability, and incident response Mentor other engineers as the team grows Requirements Proven experience building AI agent systems, research platforms, or complex technical infrastructure from scratch Strong background in distributed systems and high-throughput architectures Expertise in one or more backend languages (Python, Go, Rust, TypeScript) Deep understanding of LLM architectures, agent orchestration patterns, and ML systems in production Experience designing systems that integrate with messy, real-world data sources Solid grasp of smart contract development and on-chain coordination mechanisms Comfortable operating in an early-stage, fast-moving environment Strong communication skills and ability to work cross-functionally Nice to have Experience scaling AI systems to production with thousands of users Prior work in biotech, computational biology, or scientific computing Background in DeSci, crypto protocols, or decentralized coordination Open-source contributions in AI, research tooling, or infrastructure Benefits Foundational role with real technical ownership and impact Competitive salary + meaningful equity/token component Remote-first culture with a world-class, mission-driven team Opportunity to build category-defining infrastructure for open science from day one
