Document AI Engineer & Technical Content Creator

LlamaIndex, Inc.; San Francisco (CA); On-site; USD 130,000 - 175,000; Full time

Job summary

LlamaIndex, Inc. is seeking a highly technical ML engineer who can produce compelling technical content at high velocity.

You will design benchmarks for document parsing, publish weekly blog posts and benchmarks, and stay current with the document AI landscape while running rapid experiments. You will translate findings into publishable content, contribute to open-source examples, and collaborate with the core ML team to highlight improvements.

Qualifications

• 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, not paper pace.
• Ability to read, understand, and synthesize research papers rapidly.
• Track record of high-velocity output in fast-paced environments.

Responsibilities

• Design, build, and maintain comprehensive benchmarks for document parsing and understanding
• Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials)
• Stay deeply current with the document AI landscape - new models, papers, competitors, techniques
• Run experiments and translate findings into publishable artifacts quickly
• Produce technical analyses that demonstrate our capabilities against alternatives
• Contribute to open-source examples, notebooks, and documentation
• Collaborate with the core ML team to surface improvements and capabilities worth highlighting
• Engage authentically with the developer community through technical content (not conferences/events)

Skills

ML Engineering

Python Production

Research Reading

Technical Writing

High Velocity

Research Synthesis

Documentation Publishing

Tools

OCR

Layout Analysis

Table Extraction

Document Structuring

Transformers

Vision-Language Models

RAG Systems

Job description

LlamaIndex, Inc. is seeking a highly technical ML engineer who can produce compelling technical content at high velocity.

You will design benchmarks for document parsing, publish weekly blog posts and benchmarks, and stay current with the document AI landscape while running rapid experiments. You will translate findings into publishable content, contribute to open-source examples, and collaborate with the core ML team to highlight improvements.