AI Agent Platform Lead — Drive Safe Autonomy & Velocity

Sphere; San Francisco (CA); On-site; USD 230,000 - 260,000; Full time

Job summary

Sphere seeks an engineer to lead our internal AI agent enablement efforts in San Francisco, working to safely scale AI agents across engineering and operations. You’ll build Go/Python-backed systems that let agents accelerate workflows with robust safety and human review.

You’ll own the infrastructure, tooling, and workflows for agent deployment, iterate on sandbox environments, and help establish patterns for context, permissions, and observability across Sphere’s platforms.

Qualifications

• Experience building production-quality software.
• Experience in AI agents, coding agents, or AI agent enablement.
• Comfort with backend systems, infrastructure, and CI tools.
• Strong judgment on autonomy, safety, and human review.

Responsibilities

• Ship AI agent features to improve engineering velocity.
• Iterate on agent sandbox environments and code inspection workflows.
• Lead internal efforts to enable autonomous AI agents across teams.
• Own infrastructure, tooling, and workflows for safe agent use.

Skills

AI agents

Developer tooling

Backend systems

CI/CD

Safety & permissions

Job description

Sphere seeks an engineer to lead our internal AI agent enablement efforts in San Francisco, working to safely scale AI agents across engineering and operations. You’ll build Go/Python-backed systems that let agents accelerate workflows with robust safety and human review.

You’ll own the infrastructure, tooling, and workflows for agent deployment, iterate on sandbox environments, and help establish patterns for context, permissions, and observability across Sphere’s platforms.