Software Engineer, Knowledge Systems
San Francisco, CA - USA
Department:
Job Summary
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web train state-of-the-art embedding models to process it and design super high performant vector databases to retrieve over it. We now power search for Cursor Cognition HubSpot and over 400000 developers and have raised $350m from Lightspeed Benchmark and a16z.
Our ultimate goal is to build perfect search over all the worlds information far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information this is the place for you.
As a Software Engineer on Knowledge Systems youll help build systems that understand what is true about the world. Youll work on extracting connecting retrieving and reasoning over knowledge from the web and beyond so AI agents can answer questions with unprecedented precision and completeness.
Desired Experience
You have experience building and maintaining complex distributed backend systems
You can build data pipelines that process petabytes of documents metadata and unstructured data
Youre comfortable optimizing systems for correctness reliability and scale
You care deeply about data quality and finding high-quality information
Plus: experience building systems involving graph traversal entity resolution data quality or truth discovery
Example Projects
Build a system that can answer every factual question about every person in the world
Design a new query language for searching traversing and reasoning over billions of facts
Required Experience:
IC
About Company
Real-time AI search engine with a powerful web search API, web crawling API, SERP API, and deep research tools. Search and extract structured content from websites and live data.