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Job Description

Output Labs is hiring a Software Engineer, Agents to build agent infrastructure that turns model capabilities into practical tools and workflows.

Responsibilities

  • Design and build an agent orchestration system that composes model capabilities into multi-step workflows, including sequencing, state management, and error recovery
  • Implement agent skills and tools that expose model capabilities to automated and interactive workflows
  • Build inference infrastructure to serve models efficiently, optimizing for latency, throughput, and reliability
  • Design and build APIs and integrations, including MCP-compatible interfaces, enabling external systems and users to interact with Output models
  • Develop internal tools to speed up the research team, including experiment management and evaluation pipelines
  • Establish and maintain software engineering practices across the team: testing, CI/CD, code review, and documentation

Requirements

  • BS in Computer Science (or related field) or equivalent experience
  • 4+ years building production software systems
  • Experience integrating ML models into products or workflows, including LLM-based systems
  • Strong Python engineering skills with a track record of maintainable, well-tested production code
  • Experience designing APIs and building systems other engineers and researchers rely on
  • Comfort with cloud infrastructure, containerization, and deployment pipelines
  • Systems thinking focused on reliability, observability, and graceful failure

Technologies

  • Python
  • LLMs
  • MCP (Model Context Protocol)
  • Cloud infrastructure
  • Containerization
  • CI/CD

Bonus Points

  • Experience with LLM orchestration frameworks, agent architectures, or tool-use patterns
  • Experience with MCP (Model Context Protocol) or similar model-integration protocols
  • Background in biology, chemistry, computational biology, or a related natural science
  • Experience building internal tools that accelerate research or data science teams
  • Experience with inference optimization for large models

Benefits

  • Competitive salary and equity in a growing, well-funded startup
  • Excellent medical, dental, and vision coverage

Our Values

  • Heart: ownership and pride in contributions
  • Excellence: continuously challenging for high standards
  • Practicality: results-oriented thinking with tangible impact
  • Honesty: direct, open, transparent communication
  • Fun: building an engaging workplace that’s rewarding and fulfilling

What We Offer

  • Encouragement for new and different ideas, creativity, and contrarian thinking
  • Healthy feedback environment with constructive feedback, high expectations, support for growth, and openness to your feedback and ideas
  • Ownership of day-to-day management, with focus on hitting shared milestones
  • Competitive salary and equity in a growing, well-funded startup
  • Excellent medical, dental, and vision coverage

Location: New York, NY (onsite)

Salary: USD 150,000 - 300,000 per year

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