Applied AI Engineer
About the Role
You will own the agentic infrastructure at a well-funded AI infrastructure startup, building the systems that let AI agents execute reliably, retain context over months, and know when to involve a human. This is a founding engineer role where your decisions directly shape how agents plan, remember, fail, and recover in production.
What You'll Do
Build and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.
Design and implement memory systems that retain months of client context extracted from messy, real-world operational data.
Develop eval harnesses that teams actually trust to make production deployment decisions.
Own the full loop: build, measure, break, fix, and improve agent systems based on production feedback.
Ship agent systems directly to real customers and iterate on them based on live feedback.
Contribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.
What We're Looking For
3 or more years shipping LLM agents that ran unattended in production for real users, with a clear und
