Software Engineer, Exa

Knowledge Systems

$180-350k

+ Equity

Mid and Senior level

San Francisco Bay Area

We're happy to sponsor visas

Search infrastructure for AI

Be an early applicant

Search infrastructure for AI

101-200 employees

B2CB2BArtificial Intelligence

Be an early applicant

$180-350k

+ Equity

Mid and Senior level

San Francisco Bay Area

We're happy to sponsor visas

101-200 employees

B2CB2BArtificial Intelligence

Company mission

To understand any query – no matter how complex – and filter the internet to exactly the knowledge required for that query.

Job

Company

Role

Who you are

You have experience building and maintaining complex distributed backend systems
You can build data pipelines that process petabytes of documents, metadata, and unstructured data
You’re 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

What the job involves

As a Software Engineer on Knowledge Systems, you’ll help build systems that understand what is true about the world
You’ll 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
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

Our take

The way we currently query AIs means that the models we rely on are themselves reliant on the quality of internet search tools. To answer this, Exa is building a tool that allows AI models to perform the equivalent of a web search, making the models more effective in their responses to our questions.

Exa’s embeddings-based search engine is free of “hallucinations” (those bizarre search query answers that AI sometimes brings back to users). Also, in the same way that LLMs complete sentences, its predictive technology does the same for search queries by providing the next probable link.

It's an alluring product for companies and individuals who want to accelerate their research answers. It's also one of a kind at present, which has led to several successful funding rounds which will help accelerate its product. If it maintains its current momentum, Exa could well be the AI search engine of the future.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 6 rounds)

May 2026

$250m

SERIES C

Sep 2025

$85m

SERIES B

Total funding: $362.2m

Company HQ

Mission District, San Francisco, CA

Leadership

Will Bryk

(Co-Founder & CEO)

Previously a Software Engineer at Cresta, Intern at Zoox Inc and was the President of the Harvard Undergrad Robotics Club.

Jeffrey Wang

(Co-Founder)

Previously a Member of South Park Commons and was a Software Engineer at Plaid.

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