LlamaIndex
The Multimodal AI Engineer, Document Understanding at LlamaIndex is responsible for developing, training, and optimizing machine learning models for document structure understanding and multimodal content processing. This role involves building robust data pipelines and production ML systems for processing complex documents at scale, while collaborating with engineering teams to integrate innovations into production APIs. The engineer will also focus on data evaluation, model fine-tuning, and contribute to both proprietary and open-source frameworks, driving technical decisions in a fast-paced environment.
LlamaIndex is an AI company whose flagship product, LlamaParse, is an industry-leading agentic OCR platform for processing complex documents — including messy tables, charts, images, and handwritten text — with human-level accuracy. LlamaParse enables enterprise teams to parse, extract, index, and retrieve unstructured content at scale, supporting use cases across finance, insurance, healthcare, and manufacturing. The company also maintains widely adopted open-source repositories and offers LiteParse, a fast local document parsing solution.
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 LlamaIndex.
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May 1, 2025