Founding Engineer, Full Stack

As a founding engineer, you’ll own product end-to-end across the full stack and help set the technical foundation as the company scales. This is a hands-on, high-ownership seat where research, infrastructure, and shipped product all sit with you.

What you’ll be doing

• Building and extending a context-management platform that powers agentic workflows across customer data, communications, and deliverables
• Using black-box interpretability techniques to understand how LLMs form opinions about brands and competitors
• Owning features end-to-end, from customer need through research, infrastructure, and shipped product
• Helping establish engineering patterns and practices around agentic coding tools
• Building internal automation and custom software for clients using AI agents

• 2-5 years of full-stack engineering experience, with hands-on Python and React
• Prior experience at a high-growth startup (seed / Series A stage or later)
• Demonstrated experience building agentic or LLM-based systems
• A bachelor’s degree in any field (does not need to be computer science)
• Strong communication skills - able to explain technical work clearly to non-technical stakeholders and collaborate on a small team
• Based in or willing to relocate to San Francisco for full-time on-site work

Nice to Haves

• Deep technical work in ML/AI, interpretability, or research-adjacent engineering
• Published research or scientific research experience
• Early adopter of agentic coding tools such as Claude Code or Cursor

We’re representing a YC-backed, early-stage AI startup building a new category of tooling: helping brands understand and shape how AI models perceive them. The product applies interpretability techniques to influence what large language models “think” about a brand, and it’s already driving strong, fast-growing revenue with major enterprise customers. You’d be one of the first engineers on a very small, high-caliber founding team.

Founded 2024 · ~5 people · Industry: AI, Marketing