Output Biosciences Logo

Output Biosciences

Software Engineer, Agents

Reposted One Month Ago
In-Office
New York, NY, USA
150K-300K Annually
Mid level
In-Office
New York, NY, USA
150K-300K Annually
Mid level
Build and own agent orchestration, inference serving, APIs, and internal tools that turn model capabilities into multi-step workflows. Implement skills/tools for automated and interactive workflows, optimize inference for latency and throughput, integrate models into products, and establish engineering practices like testing, CI/CD, and observability.
The summary above was generated by AI

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. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

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

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

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

  • Excellent medical, dental, and vision coverage

HQ

Output Biosciences New York, New York, USA Office

New York, NY, United States

Similar Jobs

Yesterday
In-Office
New York, NY, USA
200K-240K Annually
Senior level
200K-240K Annually
Senior level
Artificial Intelligence • Information Technology • Logistics • Software • 3PL: Third Party Logistics • Industrial • Manufacturing
Build and deploy production AI agents for industrial supply chain workflows. Responsibilities include designing agent harnesses, tool use, sub-agents, retrieval, orchestration, evaluation frameworks, and integrations with WMS, TMS, and ERP systems. The role owns agent infrastructure, APIs, data services, deployment patterns, and production reliability while partnering with customers, operators, product teams, and the CTO.
Top Skills: Agent OrchestrationAPIsDistributed SystemsErpFrontier Model ApisLarge Language Models (Llms)Mcp ServersNode.jsPostgresPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)Structured OutputsTmsTypescriptWms
8 Days Ago
Hybrid
New York, NY, USA
132K-240K Annually
Mid level
132K-240K Annually
Mid level
Artificial Intelligence • Software • Generative AI
Build and scale AI agent systems that autonomously execute workflows and integrate with enterprise data and services. Develop agent infrastructure, APIs, memory, orchestration, security, state management, and asynchronous workflows. Integrate vector databases, retrieval systems, backend services, and external APIs. Ensure reliability through monitoring, observability, testing, CI/CD, and fault tolerance while collaborating with product, research, data, and UX teams.
Top Skills: Agent HarnessAWSAzureCi/CdClaude CodeCursorDockerGCPKubernetesLanggraphLarge Language ModelsPythonReactTypescriptVector Databases
12 Days Ago
Hybrid
New York, NY, USA
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Artificial Intelligence • Machine Learning • Software
Design and build backend systems for AI agent orchestration, tool execution, workflow management, memory, and state handling. Develop scalable APIs and reliable infrastructure for distributed AI workflows, improve platform reliability and observability, and partner with product, research, and engineering teams to deliver agent capabilities. Own technical initiatives from architecture through production, maintain software quality through testing and continuous delivery, and mentor engineers on backend and distributed-systems practices.
Top Skills: APIsAsynchronous ProcessingAutomated TestingAWSAzureCloud-Native ArchitectureContinuous DeliveryDistributed SystemsDockerGCPGoKubernetesObservabilityPythonRust

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account