AI Content Engineer (Document AI)

TL;DR

AI Content Engineer (Document AI): Designing, building, and maintaining comprehensive benchmarks for document parsing and understanding with an accent on ML techniques, technical content creation, and rapid publication. Focus on translating experiments and findings into publishable artifacts quickly, demonstrating capabilities against alternatives, and contributing to open-source examples.

Location: In-person in San Francisco

Compensation: $140,000–$220,000

Company

LlamaIndex is shaping the future of AI by defining the narrative around document understanding.

What you will do

• Design, build, and maintain comprehensive benchmarks for document parsing and understanding.
• Publish high-quality technical content weekly (blog posts, benchmark reports, technical comparisons, tutorials).
• Stay current with the document AI landscape including new models, papers, and techniques.
• Run experiments and translate findings into publishable artifacts quickly.
• Produce technical analyses demonstrating LlamaIndex capabilities against alternatives.
• Contribute to open-source examples, notebooks, and documentation.

Requirements

• Experience in software engineering (ML engineering + research a bonus).
• Strong software engineering fundamentals with production Python experience.
• Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning.
• Demonstrated ability to write clearly, quickly, and authentically about technical topics.
• Bias toward shipping, comfortable publishing at blog pace.
• Ability to read, understand, and synthesize research papers rapidly.

Nice to have

• Experience with vision-language models, transformer architectures, or document AI specifically.
• Existing portfolio of technical writing (blog posts, tutorials, technical documentation).
• Experience building evaluation frameworks or benchmarks.
• Familiarity with OCR, layout analysis, table extraction, or document structure understanding.
• Active presence in ML/AI technical communities.
• Experience with LLM applications and RAG systems.

Culture & Benefits

• Directly influence market perception and shape the narrative around document understanding.
• Work with cutting-edge document AI systems processing millions of documents.
• High autonomy with significant freedom to identify what matters and publish quickly.
• Opportunity to help build this function from the ground up as the company scales.
• Offers Equity.