Physical Intelligence
Software Engineer, AI Productivity
San Francisco · On-site · Full-time · Posted Sep 11, 2026
About the job
Build and roll out AI tools, integrations, and workflows that improve productivity across engineering, research, operations, recruiting, and other teams.
What you'll do
- Identify useful AI opportunities, build or integrate solutions, and drive adoption through enablement and support.
- Build internal AI services, integrations, automation, interfaces, and agent workflows; make agents easy to use, monitor, and trust.
- Partner on security and data access, evaluate tools, and measure adoption, productivity, and satisfaction.
What they ask for
- Strong software engineering fundamentals and ability to ship quickly.
- Hands-on fluency with AI coding workflows and modern LLM-based tools.
- Ability to build backend services, internal tools, integrations, automation, and user interfaces.
- Good judgment around security, permissions, data access, and safe tool rollout.
Nice to have
- Experience building developer tools, agents, or automation platforms.
- Experience building internal tools for research, robotics, or operationally intensive problems.
Tools
React, TypeScript, Python, Postgres, ClickHouse, GCP, Kubernetes
AI focus
Build and integrate AI agents, assistants, LLM tooling, and automation; enable teams to use AI effectively and safely across company workflows.
Model-written summary · the original posting is authoritative