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# Staff/Principal Software Engineer

- **Company:** AI-Assisted High Performance Coaching, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $217,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Databases, Information Engineering, Cursor, Distributed Systems, Elasticsearch, Python (Programming Language), MongoDB, Ruby on Rails, Microsoft Copilot, Large Language Models, Backend, Terraform
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/16_941aaec51

## About the Role

What we are looking for

 * 8 to 15 years in backend or full-stack engineering, building large-scale distributed systems

 * A track record of owning and operating systems in production at serious scale, serving 100,000+ users

 * Clear upward trajectory in scope rather than a plateau at senior level

 * Strong system design instincts for large-scale data and distributed systems

 * Hands-on experience with AI-assisted development tools such as Copilot or Cursor

Nice to have

 * Experience building LLM-based or agent-centric products

 * Familiarity with Ruby on Rails, Python, MongoDB, or Elasticsearch

 * Infrastructure-as-code experience with Terraform

 * A strong database or data engineering background that has broadened into distributed systems

## Description

This is a senior individual contributor seat with unusual reach. You will own technical direction for a significant area of the platform, either large-scale distributed systems or agent-centric AI products, and work hand-in-hand with VPs and C-suite engineering leaders on the highest-priority problems in the company.

What you will do

 * Own the architecture and technical direction for a significant area of the platform, either large-scale distributed systems or agent-centric AI products

 * Lead the hardest technical problems, making the build, buy, and cost tradeoffs that shape the entire engineering organization

 * Set standards and patterns that raise the bar across multiple teams and multiply the output of the engineers around you

 * Partner with engineering and product leadership to keep technical direction tied to business outcomes

 * Use AI-assisted development as a first-class part of how you work, leaning on agents for design, investigation, and implementation

 * Float across the highest-priority projects as the go-to individual contributor in the room