Applied AI Engineer, Agents & Robot Learning
San Francisco, CA$150k - $200kFull-timePosted 2d ago
About the role
Nori Robotics is hiring an Applied AI Engineer to connect reliable LLM agents with robot behavior. The role focuses on building agents that convert task descriptions into robot policies, evaluating them in simulation, and deploying customer-facing services for autonomous humanoid robots.
Responsibilities
- Design model-facing tools and APIs, multi-step agent loops, and reusable skill libraries.
- Generate and test robot policies in simulation, using execution feedback, context management, and retry budgets to recover from failures.
- Build reproducible evaluations, held-out tasks, and regression tests that verify success independently of model self-reports.
- Serve concurrent agents, safely isolate generated code, and deploy tested policies to physical robots while tracking latency, reliability, and compute cost.
Qualifications
- Strong Python and experience building LLM agents that run unattended over multiple steps.
- Demonstrated experience deploying and debugging manipulation, imitation-learning, or control policies on physical robots, with measurable results.
- Strong robotics fundamentals: kinematics, coordinate frames, feedback control, calibration, and actuator limits. Ability to diagnose failures across policies, sensors, and hardware using ROS 2 or equivalent.
- Experience with Isaac Sim/Lab, MuJoCo, SAPIEN, or equivalent, including contact dynamics and sim-to-real discrepancies.
- Experience operating GPU-backed services with queues, retries, cancellation, and cost controls; familiarity with sandboxing, network restrictions, and resource limits for generated code.
Skills
Required:PythonLLM agentsrobot policy deploymentROS 2 or equivalent
Last updated Oct 25, 2026. Interested? Apply on the company site.
About Nori
Sub-1500$ robot anyone can program
We manufacture humanoid robots in San Francisco.
Hard TechHardwareRobotics
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