Software Engineer, AI Productivity
Remote • San Francisco • FullTime
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Engineer
About the job
Physical Intelligence is seeking a Software Engineer focused on AI productivity to build and deploy tools that enhance AI utilization across the company. This role involves close collaboration with various teams, including engineering, research, and operations, to identify opportunities for AI leverage and translate them into robust internal tools and workflows. The position is within the Runtime team, which focuses on core systems for operational and research efficiency, alongside engineers working on build systems, infrastructure, and developer productivity. The primary focus will be on AI tooling, making AI agents, assistants, integrations, and automation valuable across the organization.
Responsibilities
- Drive adoption of AI tools across the company by identifying needs, building or integrating solutions, and facilitating team usage.
- Develop backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure for internal AI tooling.
- Enhance the usability of AI agents by managing cloud agent workflows and internal automation for ease of use, monitoring, and trust.
- Create tools to boost velocity for engineering, research, and operations teams, assisting with code development, signal extraction, and workflow automation.
- Establish best practices and enablement through playbooks, examples, onboarding, and shared workflows.
- Collaborate on security and data access for AI tools, ensuring utility while respecting data boundaries and company policies.
- Evaluate and recommend AI tooling solutions, balancing build vs. buy decisions.
- Define and measure success metrics for AI tool adoption, productivity, and user satisfaction.
Requirements
- Strong software engineering fundamentals and the ability to ship code quickly.
- Hands-on experience with AI coding workflows and modern LLM-based tools.
- Technical versatility to build backend services, internal tools, integrations, automation, and user interfaces.
- Strong product judgment with a focus on developer experience and internal tooling.
- High empathy and enthusiasm for cross-functional collaboration.
- Ability to quickly learn new systems and work across diverse technical domains.
- Good judgment regarding security, permissions, data access, and safe tool rollout.
- Effective communication, documentation, and teaching skills.
- Comfort in driving adoption beyond just coding.