The all-in-one, most intuitive, most affordable industrial robots. Backed by General Catalyst.
About the role
We are looking for an exceptional Staff Software Engineer to own the most visible surfaces in the company: the AI agent that programs industrial robots through plain conversation, and the vertical applications built around it. This role tackles one of the most ambiguous, high-leverage challenges in applied AI: turning a successful LLM-powered demo into a product customers rely on. Our verticals are the real jobs customers hire robots to do, like palletizing, welding, and machine tending.
What they're looking for
- LLM Product Engineering: Fluency in agent loops and tool calling, prompt and context management, structured output, model selection and fallbacks, and token/latency economics as engineering constraints
- Evaluation & Quality: You've built eval datasets, harnesses, or regression gates for nondeterministic systems and used them to make real launch decisions
- Design Sensibility: Strong opinions about user experience, held loosely: you prototype interactions before hardening them, sweat the details users actually feel, and partner naturally with design
- Excelling in Ambitious Environments: Your best work happened where the bar was public, leadership was close to the product, and the plan changed weekly
- Tech Stack Expertise: Fluency in TypeScript/Node.js is preferred, with range across our core stack (React, Python, C++, Kubernetes)
More about this role
We are looking for an exceptional Staff Software Engineer to own the most visible surfaces in the company: the AI agent that programs industrial robots through plain conversation, and the vertical applications built around it. This role tackles one of the most ambiguous, high-leverage challenges in applied AI: turning a successful LLM-powered demo into a product customers rely on. Our verticals are the real jobs customers hire robots to do, like palletizing, welding, and machine tending. Each vertical is a product surface, with purpose-built features and user experiences, designed from the start for the agent to drive.
Your impact will be measured not just by the code you write, but by your ability to make the agent's quality measurable, harden it to release, turn our verticals into products customers love, and raise the technical bar of a small, founding-stage team working directly with our founder, product leadership, and first customers.
Define the Future: Own the long-term product and technical vision for the AI agent and the vertical applications it powers, anticipating the scale, security, and product needs of LLM-powered robot programming a year or more out, including its...
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