BS in Computer Science or related field, or equivalent experience
4+ years of experience in building production software systems
Experience integrating ML models, especially LLM-based systems
Strong Python engineering skills with proven track record
Experience designing APIs for system dependencies
Comfortable with cloud infrastructure and deployment pipelines
System-oriented mindset focusing on reliability and observability
Responsibilities
Design and build agent orchestration systems for workflows
Implement agent skills and tools for automated workflows
Build inference infrastructure optimizing for latency and reliability
Design APIs and integrations for external interactions
Create internal tools to support research and experimentation
Establish engineering practices like testing and CI/CD
Benefits
Encouragement for creative and contrarian thinking
Constructive feedback-focused environment for personal growth
Autonomy in daily work management with a focus on hitting milestones
Competitive salary and equity opportunities
Excellent medical, dental, and vision coverage
Full Job Description
The Role
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 recovery
You will implement agent skills and tools that expose model capabilities to automated and interactive workflows
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 build internal tools that accelerate the research team's work, from experiment management to evaluation pipelines
You will establish and maintain software engineering practices across the team: testing, CI/CD, code review, and documentation
About You
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 strong Python engineering skills with a track record of building maintainable, well-tested production code
You have experience designing APIs and building systems that other engineers and researchers depend on
You are comfortable with cloud infrastructure, containerization, and deployment pipelines
You think in systems: you design for reliability, observability, and graceful failure, not just the happy path
Bonus Points
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 building internal tools that accelerate research or data science teams
You have experience with inference optimization for large models
What We Offer
We encourage new and different ideas, creativity and contrarian thinking
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. What we care about is that we all hit our milestones
Competitive salary and equity in a growing, well-funded startup
