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© All Rights Reserved. ApplyBlast.com
Vespa.ai
Vespa.ai is seeking an Applied AI Engineer to evaluate and integrate cutting-edge AI models and techniques into its open-source search platform. The role involves building reference applications, driving platform improvements for AI workloads, and collaborating with customers to understand their needs. This position focuses on practical application and integration rather than research or model training.
Vespa.ai is an AI Search Platform focused on fast, accurate, large-scale retrieval-augmented generation (RAG), personalization, and recommendation. It combines vector search, document indexing, retrieval, ranking, and ML model serving to deliver low-latency, production-grade results across billions of documents. Offered as an open-source engine with tooling and hosted/managed options, Vespa targets enterprises building real-time search, recommendation, and RAG applications. Customers choose it for its scalability, real-time updates, and emphasis on production readiness for complex serving and personalization use cases.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Vespa.ai.
Vespa.ai didn’t post a salary, so this is our estimate from similar listings.