Member of Technical Staff – Agents

The role

An LLM Engineer will build intelligent agent systems that interact with real-world robotic platforms. You will develop agent harnesses, multimodal reasoning systems, and agent memory systems using Dimensional OS.

What you will do

• Design, build, deploy, and maintain single-agent and multi-agent systems for real-world robotics applications.
• Develop multimodal agent architectures capable of processing complex sensor data and understanding spatial environments.
• Build and optimize agent harnesses, including context management, persistent memory systems, and agent orchestration.
• Develop scalable systems for scene reconstruction, spatial reasoning, and efficient retrieval of information.
• Integrate agent systems into production robotics workflows.
• Contribute high-quality, production-ready code to a large-scale, shared engineering codebase.

Required qualifications

• Hands-on experience designing, building, and deploying LLM-powered agent systems, including single-agent and multi-agent architectures.
• Strong software engineering fundamentals to deliver reliable, scalable, production-quality code.
• Experience deploying and maintaining agent systems used by real customers.
• Experience with agent harness engineering, including agentic memory, context management, orchestration, and long-horizon reasoning.
• Ability to design rigorous evaluation frameworks and define quantitative success metrics.

Nice to have

• Experience as an early-stage founder or engineer at an agent-focused or AI-native startup.
• Deep familiarity with contemporary agent research, frameworks, and emerging AI tooling.
• Proven experience translating experimental or research-driven AI systems into production environments.
• Experience working with robotics sensor data, including LiDAR, point clouds, joint states, spatial representations, and feature embeddings.
• Familiarity with scene reconstruction, 3D computer vision, or robotics simulation environments such as MuJoCo and Habitat.
• Experience with reinforcement learning, automated evaluation, or optimization techniques for improving agent performance.

About the company

Dimensional is building the foundation for physical intelligence in general-purpose robotics. They develop a unified framework that enables robots to perceive, reason, learn, and act across diverse real-world environments and embodiments.