Software Engineer, Agents

Build agent infrastructure that turns model capabilities into tools, workflows, and integrations used by researchers and external systems.

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, so external systems and users can interact with Output models
• Develop internal tools to accelerate research, including experiment management and evaluation pipelines
• Establish and maintain engineering practices across the team, including 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 history of maintainable, well-tested production code
• Experience designing APIs and systems that other engineers and researchers depend on
• Comfort working with cloud infrastructure, containerization, and deployment pipelines
• Systems thinking with a focus on reliability, observability, and graceful failure

Technologies

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

Benefits

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

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

Work Values

• Heart: ownership-focused culture and pride in contributions
• Excellence: ongoing commitment to high standards
• Practicality: results-oriented thinking with tangible impact
• Honesty: direct, open, transparent issue resolution
• Fun: building a workplace that is engaging, rewarding, and fulfilling

What We Offer

• Encouragement for new and different ideas, creativity, and contrarian thinking
• Healthy feedback environment with high expectations and regular constructive feedback
• Support from leadership to help you grow, with openness to receiving your feedback and ideas
• Ownership of day-to-day management with a focus on hitting milestones
• Competitive salary and equity in a growing, well-funded startup
• Medical, dental, and vision coverage

Location: New York, NY (onsite)

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

Minimum Experience: 4 years

Education: BS in Computer Science or related field (or equivalent experience)