The RoleOutput has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach.
The hardest problems in both AI and biology are being solved here, and there is room for you to own one.Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.You will build the agent infrastructure that turns model capabilities into usable tools and workflows. This role owns the orchestration layer, the inference serving, the internal tooling, and the interfaces that researchers and external systems interact with.You will design and build the agent orchestration system that composes model capabilities into multi-step workflows, handling sequencing, state management, and error recoveryYou will implement agent skills and tools that expose model capabilities to automated and interactive workflowsYou will build inference infrastructure for serving models efficiently, optimizing for latency, throughput, and reliabilityYou will design and build APIs and integrations, including MCP-compatible interfaces, that allow external systems and users to interact with Output's modelsYou will build internal tools that accelerate the research team's work, from experiment management to evaluation pipelinesYou will establish and maintain software engineering practices across the team: testing, CI/CD, code review, and documentationAbout YouYou have a BS in Computer Science or a related field, or equivalent experienceYou have 4+ years of experience building production software systemsYou have experience integrating ML models into products or workflows, including LLM-based systemsYou have strong Python engineering skills with a track record of building maintainable, well-tested production codeYou have experience designing APIs and building systems that other engineers and researchers depend onYou are comfortable with cloud infrastructure, containerization, and deployment pipelinesYou think in systems: you design for reliability, observability, and graceful failure, not just the happy pathBonus PointsYou have experience with LLM orchestration frameworks, agent architectures, or tool-use patternsYou have experience with MCP (Model Context Protocol) or similar model-integration protocolsYou have a background in biology, chemistry, computational biology, or a related natural scienceYou have experience building internal tools that accelerate research or data science teamsYou have experience with inference optimization for large modelsOur ValuesHeart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.Practicality: We value practicality and results-oriented thinking.
We are committed to making a tangible impact on the lives of patients and the broader community.Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.What We OfferWe encourage new and different ideas, creativity and contrarian thinkingHealthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from youYou own your day-to-day management.
What we care about is that we all hit our milestonesCompetitive salary and equity in a growing, well-funded startupExcellent medical, dental, and vision coverage