LlamaIndex

HQ
San Francisco, California, USA
44 Total Employees

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Jobs at LlamaIndex
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Recently posted jobs

5 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Information Technology • Machine Learning • Software
The Open Source Engineer will design powerful AI frameworks, maintain open-source repos, and develop interfaces for LLM applications, collaborating globally.
7 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
As a Senior/Staff Backend Engineer, you will build scalable features and enhance backend capabilities focused on AI systems. Collaborate with prospects and customers to deliver production solutions.
10 Days AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Information Technology • Machine Learning • Software
This role involves owning the growth marketing strategy at LlamaIndex, focusing on inbound and demand generation, PLG, lifecycle marketing, and analytics for AI products.
14 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
The Applied AI Solutions Architect is responsible for managing post-sales technical relationships with enterprise customers, ensuring successful AI implementations, driving expansions, and engaging both technical and executive stakeholders.
17 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
Design and develop front-end and back-end solutions for AI-based applications, focusing on feature development, customer collaboration, and scaling products.
18 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
As a Forward Deployed Engineer, manage customer deployments, ensure infrastructure stability, troubleshoot issues, and enhance user experience with AI solutions.
25 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
Design and implement scalable infrastructure for AI applications, manage cloud resources, optimize deployment processes, and ensure security compliance.