Sphere is a company focused on revolutionizing trade infrastructure through AI technology. They are seeking an AI Agent Infrastructure Lead to build systems that enable AI agents to operate effectively across various functions, enhancing productivity and efficiency within the organization.
Responsibilities:
- Ship AI agent features that help Sphere’s engineering team use agents more effectively and responsibly
- Iterate on versions of Sphere’s agent sandbox environments
- Create workflows where agents can inspect the codebase, run local infrastructure, make changes, run tests, and prepare work for human review
- Work directly with engineers to identify high-leverage internal workflows where agents can create immediate velocity
- Lead Sphere’s internal efforts to enable AI agents to act more autonomously across engineering, ops, customer success, tax research, and implementation
- Build 'Goose' for Sphere: the internal AI agent layer that helps agents understand and operate across Sphere’s systems
- Own the infrastructure, tooling, and workflows that let agents safely take on more complex internal work over time
- Establish the patterns for how Sphere uses agents internally, including context, permissions, review, observability, and escalation