Biotech AI Platform Engineer – Agent Orchestration

Output Biosciences; New York (NY); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary and equity

Excellent medical, dental, and vision

Ownership culture and flexible startup

Job summary

Output Biosciences is building a biology-focused AI platform that aims to turn model capabilities into usable tools for researchers and systems. The role owns the orchestration layer, inference serving, internal tooling, and interfaces used by researchers and external workflows.

You will establish robust software engineering practices and deliver scalable, reliable production systems that integrate ML models, including LLM-based workflows, with a strong emphasis on reliability and observability.

Qualifications

• 4+ years of production software experience.
• Experience integrating ML models into products or workflows, including LLM-based systems.
• Strong Python engineering with maintainable, well-tested production code.
• Experience designing APIs and building systems that other engineers and researchers depend on.
• Comfort with cloud infrastructure, containerization, and deployment pipelines.
• Systems thinking: reliability, observability, and graceful failure.

Responsibilities

• Design and build the agent orchestration system that composes model capabilities into multi-step workflows, handling sequencing, state management, and error recovery.
• Implement agent skills and tools that expose model capabilities to automated workflows.
• Build inference infrastructure for serving models with optimized latency, throughput, and reliability.
• Design and build APIs and MCP-compatible interfaces for external systems to interact with Output’s models.
• Build internal tools to accelerate research, from experiment management to evaluation pipelines.
• Establish and maintain software engineering practices across the team: testing, CI/CD, code reviews, and documentation.

Skills

Production software systems

ML model integration

Python development

API design

Cloud infrastructure

CI/CD

Reliability & observability

LLM orchestration concepts

Education

Bachelor's degree in Computer Science or related field

Equivalent experience acceptable

Job description

Output Biosciences is building a biology-focused AI platform that aims to turn model capabilities into usable tools for researchers and systems. The role owns the orchestration layer, inference serving, internal tooling, and interfaces used by researchers and external workflows.

You will establish robust software engineering practices and deliver scalable, reliable production systems that integrate ML models, including LLM-based workflows, with a strong emphasis on reliability and observability.