Applied AI Engineer, Agents & Robot Learning

Nori Robotics builds affordable humanoid robots whose intelligence scales with its fleet. The Applied AI Engineer will develop LLM agents that turn task descriptions into robot policies, improve those policies through simulation and execution feedback, and deploy them as a customer-facing service.

Responsibilities:

• Design model-facing tools and APIs, multi-step agent loops, and reusable skill libraries
• Generate and test robot policies in simulation, using execution feedback, context management, and retry budgets to recover from failures
• Build reproducible evaluations, held-out tasks, and regression tests that verify success independently of model self-reports
• Serve concurrent agents, safely isolate generated code, and deploy tested policies to physical robots while tracking latency, reliability, and compute cost