AI Full-Stack Engineer (SF, In-Person)

We're looking for exceptional Full-Stack Engineers who thrive in fast-moving startup environments and enjoy taking ownership from day one.

What we're looking for:

✅ Experience building products at high-growth startups where you've owned major projects from early stages through meaningful scale.

✅ Strong Computer Science fundamentals with an excellent academic record from a Top 20 university or equivalent globally recognized institution.

✅ Deep expertise in Python, TypeScript, modern web technologies, and AI-powered applications.

✅ Builders who enjoy solving difficult engineering problems, shipping quickly, and working directly with founders.

You'll stand out if you have:

• Built greenfield products from scratch.
• Demonstrated high ownership and entrepreneurial mindset.
• Personal projects, open-source contributions, or side projects showcasing your passion for engineering.
• Experience working on AI, LLMs, agentic workflows, or developer tools.

Please note:

This opportunity is not the right fit if your career has been built entirely at large enterprises without a meaningful start up or high ownership chapter. We're specifically looking for engineers who have operated in environments requiring speed, autonomy, and end-to-end ownership.

If you're excited about building category-defining AI products with a small, ambitious team, we'd love to hear from you.

We are an elite, high-growth AI research and infrastructure company building next-generation LLM interpretability and context optimization systems. Our custom ML models analyze and compress token contexts before they hit underlying models—slashing inference costs by ~50%, dropping latency, and boosting accuracy.

Just seven months post-launch with over 1,000 paying customers, we are backed by $11.7M from First Round Capital, Y Combinator, and the founders of Hugging Face, Slack, and Dropbox.