Software Engineer, Knowledge Systems

Exa
San Francisco
Workplace: OnsiteFull timeUSD 180,000 - 350,000 annuallyFunction: Software EngineeringSkills: ["Distributed systems","Data pipelines","Data quality","Entity resolution","Graph traversal"]

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.

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FursaFursa
Exa
Exa
3 months ago

Software Engineer, Knowledge Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour 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
WebsiteLinkedIn