Output

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.