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.

What You'll Do

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

What We're Looking For

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

Why Join Us

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