ZeroEntropy is building the next-generation retrieval engine for AI systems. We’re rethinking search from the ground up: faster, more accurate, and built to serve as infrastructure for the next decade of AI.
As a Founding AI Engineer, you’ll work across research and engineering to design, train, and optimize machine learning systems that push the limits of what’s possible in performance-critical environments.
This is a hands-on role for someone who thrives in ambiguity, understands both the math and the machine, and wants to build core technology, not just use it. You’ll join an early, elite team where your ideas will directly shape the product and architecture.
We are on a mission to build the world’s most accurate search engine over complex and unstructured documents.
Most AI products - whether Q&A bots or AI agents - depend on retrieval systems to provide relevant context from knowledge bases.
Yet, the vast majority of these systems rely on basic semantic or hybrid search methods, which still frequently fail.
These mistakes lead to inaccurate responses and hallucinations by LLMs, frustrating developers and end users alike.
That is why we’re building ZeroEntropy: to add intelligence to retrieval and empower developers to create AI products that are more reliable and accurate.
Salary
$120,000 - $200,000
Equity
0.5% - 1.5%
Location
San Francisco, CA, US
Experience
3+ years
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.