Applied AI Engineer

About the Role

You will own the agentic infrastructure at a seed-stage AI startup building the foundational layer for AI-native service operations. This means designing and shipping the systems that let agents execute reliably in production, retain months of client context, and know when to hand off to a human. This is a foundational engineering role at a very early team, with outsized scope and impact from day one.

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 from messy, real-world operational data.

• Develop eval harnesses that teams actually trust to make production shipping decisions.

• Own the full loop: build it, measure it, break it, fix it, and make it learn.

• Ship agent systems for real customers and iterate directly based on production feedback.

• Contribute across infrastructure, orchestration, customer collaboration, and early hiring as the team grows.

What We're Looking For

• 3+ years shipping LLM agents that ran unattended in producti