Senior Software Engineer, Parse

Posted Yesterday
2 Locations
In-Office or Remote
150K-250K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
Join the LlamaParse team to design and implement document parsing pipelines, develop machine learning models, and maintain APIs for high-volume document processing.
Summary Generated by Built In

Join us and help shape the future of AI by redefining document workflows with AI agents.

About the Role:

We are seeking an exceptional engineer to join our growing LlamaParse team. You will work at the intersection of document processing, machine learning, and software engineering to push the boundaries of what's possible in document understanding. As a key member of a focused team, you'll have significant impact on our product's direction and technical architecture.

Responsibilities:
  • Design and implement advanced document parsing pipelines that handle complex PDFs, PowerPoints, Word documents, spreadsheets, and any other kind of files

  • Develop and optimize machine learning models for document structure understanding, table extraction, and layout analysis

  • Build and maintain robust APIs and infrastructure to support high-volume document processing

  • Collaborate with the broader AI team to improve RAG pipeline integration and document preprocessing

  • Drive technical decisions while balancing speed, quality, and maintainability

  • Contribute to both our open-source framework and enterprise offering

Qualifications:
  • 3+ years of experience

  • Strong software engineering background with deep expertise in Typescript

  • Experience with document processing technologies (e.g., PDF parsing, OCR, layout analysis)

  • Strong understanding of modern AI/ML techniques, particularly in document understanding and NLP

  • Experience with production API design and implementation

  • Track record of executing with high intensity in fast-paced environments

  • Willingness to read file format specification documents and RFCs

Preferred Qualifications:
  • Experience with building file parsers

  • Strong expertise in Python

  • Experience with computer vision or document understanding models

  • Familiarity with LLM applications, particularly in document processing contexts

  • Contributions to open-source document processing or ML projects

  • Background in technical product development at fast-growing startups

  • Proven track record of shipping production ML systems

Location:

We offer a hybrid-friendly culture based out of our downtown San Francisco office.

Why Join Us?
  • Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.

  • Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.

  • Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.

Additional Benefits:
  • Competitive base salary and equity compensation

  • Comprehensive medical/dental/vision coverage for you and your family

  • Unlimited paid time off policy

  • Daily catered lunch and snacks in the San Francisco office

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

Top Skills

Ocr
Python
Typescript
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The Company
HQ: San Francisco, California
44 Employees

What We Do

The data framework for LLMs

Python:
Github: https://github.com/jerryjliu/llama_index
Docs: https://docs.llamaindex.ai/

Typescript/Javascript:
Github: https://github.com/run-llama/LlamaIndexTS
Docs: https://ts.llamaindex.ai/

Other:
Discord: discord.gg/dGcwcsnxhU
LlamaHub: llamahub.ai
Twitter: https://twitter.com/llama_index
Blog: blog.llamaindex.ai

#ai #llms #rag

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