Join us and help shape the future of AI by architecting next-generation knowledge systems.
Values we look for:
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Unwavering Integrity with Purpose: We operate with complete honesty and stay true to our mission. Our work isn't just a job – it's driven by genuine passion and deep alignment with our goals.
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Resourceful Innovation: We thrive in any environment, turning constraints into opportunities. Our ability to adapt and find creative solutions with limited resources sets us apart.
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Exceptional Drive & Execution: We combine sharp intellect with relentless execution. Smart thinking alone isn't enough – we pride ourselves on turning great ideas into real results.
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Elevate & Empower: We believe in collective growth. Success means lifting those around us, sharing knowledge, and helping our teammates reach their full potential.
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Deep Expertise: We value and cultivate deep domain knowledge. True innovation comes from mastering our craft and understanding the nuances of our field.
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:
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Design and implement advanced document parsing pipelines that handle complex PDFs, PowerPoints, Word documents, spreadsheets, and any other kind of files
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Develop and optimize machine learning models for document structure understanding, table extraction, and layout analysis
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Build and maintain robust APIs and infrastructure to support high-volume document processing
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Collaborate with the broader AI team to improve RAG pipeline integration and document preprocessing
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Drive technical decisions while balancing speed, quality, and maintainability
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Contribute to both our open-source framework and enterprise offering
Qualifications:
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3+ years of experience
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Strong software engineering background with deep expertise in Typescript
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Experience with document processing technologies (e.g., PDF parsing, OCR, layout analysis)
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Strong understanding of modern AI/ML techniques, particularly in document understanding and NLP
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Experience with production API design and implementation
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Track record of executing with high intensity in fast-paced environments
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Willingness to read file format specification documents and RFCs
Preferred Qualifications:
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Experience with building file parsers
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Strong expertise in Python
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Experience with computer vision or document understanding models
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Familiarity with LLM applications, particularly in document processing contexts
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Contributions to open-source document processing or ML projects
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Experience with frontend development
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Background in technical product development at fast-growing startups
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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?
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Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.
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Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.
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Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.
Additional Benefits:
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Competitive base salary and equity compensation
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Comprehensive medical/dental/vision coverage for you and your family
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Unlimited paid time off policy
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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
LlamaIndex San Francisco, California, USA Office
San Francisco, California, United States
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