Founding Engineer, Applied AI (AI Risk and Security)

An early-stage startup that helps large enterprises assess and control the risks of third-party AI tools is hiring a founding engineer in San Francisco. The platform sits where AI adoption meets cybersecurity, and it is constructed from top to bottom for production enterprise clients rather than as a prototype.

What you’ll build

• Design and release LLM-powered systems, including agent workflows and retrieval pipelines, for outside enterprise clients
• Own the data layer, including database schema design and pipelines that scale
• Take products from zero to one with complete freedom over how they turn out
• Join go-to-market colleagues on customer calls whenever it helps move the product ahead
• Turn feedback from large enterprise accounts into quick, continuous platform improvements

Background

• One to eight years of full-stack engineering, with a focus on Python and LLM systems
• Has built LLM systems from start to finish in production, beyond demos
• Sound grasp of relational database design and distributed-systems fundamentals
• Startup, founding or zero-to-one ownership (a small startup is fine)
• Degree in computer science, mathematics or an equivalent technical field
• Strong communicator who likes shipping fast and taking ownership of the entire problem

On-site in the San Francisco Bay Area. No visa sponsorship or employer petitions; TN and E-3 holders can be considered.