Output
Software Engineer, Agents
New York HQ 🗽
Sponsorship not specifiedDetected 47 days ago
PythonCode ReviewCloud PlatformsCI/CDMachine LearningData ScienceLLMsAI OrchestrationBioinformaticsResearchLeadership
About the role
- Output 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.
Responsibilities
- The hardest problems in both AI and biology are being solved here, and there is room for you to own one.
- You will design and build the agent orchestration system that composes model capabilities into multi-step workflows, handling sequencing, state management, and error recovery
- You will build inference infrastructure for serving models efficiently, optimizing for latency, throughput, and reliability
- You will design and build APIs and integrations, including MCP-compatible interfaces, that allow external systems and users to interact with Output's models
- You will establish and maintain software engineering practices across the team: testing, CI/CD, code review, and documentation
- You think in systems: you design for reliability, observability, and graceful failure, not just the happy path
- Healthy 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 you
- You own your day-to-day management.
- You have experience building internal tools that accelerate research or data science teams
Requirements
- You have a BS in Computer Science or a related field, or equivalent experience
- You have 4+ years of experience building production software systems
- You have experience integrating ML models into products or workflows, including LLM-based systems
- You have experience with LLM orchestration frameworks, agent architectures, or tool-use patterns
- You have experience with MCP (Model Context Protocol) or similar model-integration protocols
- You have a background in biology, chemistry, computational biology, or a related natural science
- You have experience with inference optimization for large models
Skills
- You are comfortable with cloud infrastructure, containerization, and deployment pipelines
Compensation
- Competitive salary and equity in a growing, well-funded startup
Benefits
- Competitive salary and equity in a growing, well-funded startup
- Excellent medical, dental, and vision coverage
Company info
- testing, CI/CD, code review, and documentation
- We foster a culture of ownership.
- We are assembling a team of individuals who are passionate and take pride in their contributions.
- We value practicality and results-oriented thinking.
- We are committed to making a tangible impact on the lives of patients and the broader community.
This listing is sourced directly from Output's careers page and normalized into a canonical job model.