Exa

1 month ago

Software Engineer, Knowledge Systems

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Join Exa as a Software Engineer on Knowledge Systems to help build the systems that extract, connect, retrieve, and reason over knowledge from the web and beyond. You’ll contribute to distributed backend infrastructure, data pipelines processing petabytes of data, and systems that improve correctness, reliability, and scale for AI-driven search of global information.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, implement, and maintain systems that extract, connect, retrieve, and reason over knowledge from the web and beyond.
•Build scalable distributed backend components and pipelines to process vast amounts of documents and metadata.
•Collaborate with ML/AI teams to optimize correctness, reliability, and scale of knowledge platforms.
•Focus on data quality and developing mechanisms for identifying high-quality information.
•Contribute to projects involving graph traversal, entity resolution, data quality, or truth discovery.

Pay and Benefits

Salary: USD 180,000 - 350,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience building and maintaining complex distributed backend systems.
•Ability to build data pipelines that process petabytes of documents, metadata, and unstructured data.
•Experience optimizing systems for correctness, reliability, and scale.
•Ability to ensure data quality and find high-quality information.
•Plus: experience with graph traversal, entity resolution, data quality, or truth discovery.

Experience:AISearchKnowledge systemsDistributed systems

Skills:Distributed systemsData pipelinesData qualityEntity resolutionGraph traversal

Company Brief

Exa

Builds an embeddings-based neural search engine and web search API for AI applications, offering crawling, retrieval, and deep research tools to serve developers and AI agents with up-to-date web knowledge.

Industry: API Platforms

Company Size: Small (11 to 50 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Exa