Lead AI & Agentic Systems Engineer
Core
Design and build production-grade agentic AI systems that provide autonomy, reasoning, memory, and distinct behavioral identities to autonomous quadruped robots.
Role type
Lead AI & Agentic Systems Engineer
Builds
Autonomous agentic systems for robotic platforms
Domain
Robotics, Agentic AI, Embodied AI
Deliverable
production ML models
Required skills
Agentic AI system design, Multi-agent architecture, Persistent memory systems, LLM integration, Tool-use and orchestration, Robotics system integration, Python, AI systems architecture, Evaluation frameworks
Preferred skills
Quadruped robotics, Reinforcement learning, Computer vision, Multimodal AI, Simulation environments, Robotics middleware, Brain-computer interfaces, Neural interfaces, Biological computing, Open-source agent frameworks
Technologies
LLMs, Foundation models, Python, Robotics middleware, Simulation environments
Responsibilities
Design and build autonomous agentic systems for robotic platforms; Develop multi-agent architectures capable of planning, reasoning, and decision-making; Build persistent memory and personality systems for individual robots; Integrate LLMs, vision models, and speech systems into robotic systems; Develop evaluation frameworks for measuring agent behavior and autonomy; Work directly with quadruped robotic platforms to connect agentic intelligence to perception and action.
