4 hours ago
Base Salary
$150k - $250k/yr
Responsibilities
- Build and maintain infrastructure for reliable agent execution across long-running, multi-step tasks.
- Design memory and retrieval systems for messy operational data and long-term context preservation.
- Develop evaluation harnesses that inform LLM system deployment decisions.
- Measure, test, debug, and improve agent systems across development and production.
- Collaborate with customers and teammates to iterate on production agents, orchestration, and reliability.
- Implement failure recovery, retries, and other production reliability patterns for agents.
- Build agent tools, frameworks, or libraries and take technical projects from idea through production.
Requirements
- At least 3 years of experience building and shipping LLM agents that run unattended in production for real users.
- Strong Python skills and experience building production systems and agent infrastructure.
- Experience developing evaluation harnesses used for production deployment decisions.
- Hands-on experience with agent memory, operational-data context retrieval, and orchestration or workflow systems.
- Experience implementing failure recovery, retries, or other production reliability patterns for agents.
- Experience building agent tools, frameworks, or libraries, or taking a technical project from idea to production.
Benefits
- Meaningful early equity.
- Visa sponsorship is available.
- On-site work in San Francisco, United States.