8 hours ago
Base Salary
$150k - $250k/yr
Responsibilities
- Build and maintain infrastructure that helps LLM agents execute tasks reliably across many iterations.
- Design memory and retrieval systems for preserving useful context from messy operational data.
- Develop evaluation harnesses to support production deployment decisions.
- Measure, test, troubleshoot, and improve agent systems, including failure recovery and retries.
- Ship agent systems to customers and iterate based on production feedback.
- Contribute across infrastructure, orchestration, customer collaboration, and team growth.
Requirements
- At least 3 years of experience building and shipping LLM agents that ran unattended in production for real users.
- Strong Python skills and hands-on experience building production systems.
- Experience implementing agent memory and context retrieval for real operational data.
- Experience building evaluation harnesses used for production deployment decisions.
- Experience with agent orchestration, infrastructure, workflow management, or agent tooling.
- Experience implementing production reliability patterns, including failure recovery and retry logic.
- Evidence of technical ownership through taking projects from conception to production, founding or leading technical projects, or contributing to open-source agent tooling or LLM infrastructure.
- Early engineering experience at a high-growth or AI-focused startup, experience building complex production systems, or a strong technical education background.
Benefits
- $150,000 to $250,000 USD base salary plus meaningful early equity.
- Visa sponsorship and relocation support are available.
- On-site role in San Francisco, United States.