Senior Applied AI Engineer
About the Role
Own 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 in
