Applied AI Engineer

ABOUT THE ROLE Build and own agent infrastructure for an AI-driven services company. You will help make agents reliable in production, with durable context, trustworthy evaluations, and clear paths for human intervention. WHAT YOU'LL DO - Build and maintain infrastructure that helps agents execute tasks reliably across many iterations. - Design memory and retrieval systems that preserve useful context from messy operational data over time. - Develop evaluation harnesses that teams can use to make 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. WHAT WE'RE LOOKING FOR - 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, not only demo datasets. - Experience building evaluation harnesses used to guide 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, such as taking a project from conception to production, founding or leading a technical project, 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. COMPENSATION & BENEFITS $150,000 to $250,000 USD base salary, plus meaningful early equity. Visa sponsorship and relocation support are available. LOCATION On-site in San Francisco, United States.