AI Infra Reliability Engineer

Orin Labs; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Orin Labs in San Francisco is seeking an experienced engineer to own critical infrastructure for long-running AI agents that operate in the real world. You will design and maintain systems that turning research ideas into deployed models, with a focus on reliability and scale.

You will lead training pipelines, evaluation harnesses, and the runtime/deployment stack, ensuring observability, debugging, and on-call readiness for a complex, long-horizon workflow.

Qualifications

• Experience building and operating production systems that others depend on.
• Strong focus on observability, failure handling, and reliability.
• Ability to own problems from architecture to on-call reality.

Responsibilities

• Own large parts of the training infrastructure that turns research ideas into models.
• Maintain evaluation harnesses that quantify model quality and progress.
• Develop runtime, deployment and observability layers to keep long-running agents performing reliably.

Skills

Production systems

Observability

On-call ownership

End-to-end ownership

Job description

Orin Labs in San Francisco is seeking an experienced engineer to own critical infrastructure for long-running AI agents that operate in the real world. You will design and maintain systems that turning research ideas into deployed models, with a focus on reliability and scale.

You will lead training pipelines, evaluation harnesses, and the runtime/deployment stack, ensuring observability, debugging, and on-call readiness for a complex, long-horizon workflow.