Software Engineer, Agentic Search

Reposted 9 Days Ago
San Francisco, CA
In-Office
150K-300K Annually
Mid level
Artificial Intelligence • Software
Building embeddings-based search infrastructure
The Role
Join the Agentic Search Team to develop a scalable search engine using Rust and advanced models. Work on diverse projects while leveraging extensive technical skills.
Summary Generated by Built In

Exa is building a search engine from scratch to serve every AI application. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high performant vector databases in Rust to search over it. We also own a $5M H200 GPU cluster that regularly lights up tens of thousands of machines.

Our Agentic Search Team is building high-compute search to handle the most complex searches. These searches might run for minutes, hours, or even days. We're pretty flexible on what projects people work on based on their skills and interests.

Desired Experience

  • You can whip up React/Node projects in no time

  • You have extensive prompt engineering experience, or would be excited to ramp up very quickly

  • You're excited to wear many hats (sales, marketing, backend, frontend, etc)

  • You care about the problem of finding high quality information and recognize how important this is for the world

Example Projects

  • Create an Exa Chat frontend where you chat with Exa results

  • Build agentic orchestration pipelines that could run for a whole day

  • Make our web crawler 3x faster

This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3).

Top Skills

Gpu Clusters
Node.js
React
Rust
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The Company
San Francisco, , California
86 Employees
Year Founded: 2021

What We Do

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.

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