Senior Applied AI Engineer
clera · San Francisco · onsite
About the RoleOwn the agent infrastructure that helps AI systems execute tasks reliably, retain context, and involve people when needed. You will build and ship production systems, using real-world feedback to improve how agents plan, recover, and perform.
What You'll Do- Build and maintain infrastructure for reliable agent execution across long-running, multi-step tasks.
- Design memory and retrieval systems that work with messy operational data and preserve useful context over time.
- Develop evaluation harnesses that teams can trust when deciding whether to deploy LLM systems.
- Measure, test, debug, and improve agent systems throughout the development and production lifecycle.
- Collaborate with customers and teammates to iterate on production agents, orchestration, and reliability.
What We're Looking For- 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 to inform production deployment decisions.
- Hands-on background with agent memory, context retrieval for operational data, and orchestration or workflow systems.
- Experience implementing failure recovery, retries, or other production reliability patterns for agents.
- Experience building agent tools, frameworks, or libraries; a technical project taken from idea to production is also relevant.
Compensation & BenefitsBase salary of $150,000 to $250,000 USD annually, plus meaningful early equity. Visa sponsorship is available.
LocationOn-site in San Francisco, United States.