Document AI Engineer & Benchmark Architect

LlamaIndex; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

LlamaIndex in San Francisco seeks a highly technical ML engineer to produce authentic technical content at high velocity, combining document AI expertise with strong writing skills. You will build benchmarks, publish analyses, and help position us as the leader in document understanding.

This role is hands-on: you will write real code, run experiments, and translate work into published content at a pace faster than academic publishing.

Qualifications

• Experience in software engineering with ML focus and production Python
• Ability to write clearly and quickly about technical topics
• Ability to ship; publish at blog pace
• Experience reading and synthesizing research papers rapidly
• Self-directed and able to identify compelling topics
• Track record of high-velocity output in fast-paced teams

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

Production Python

ML engineering

Software engineering fundamentals

Research synthesis

High-velocity output

Self-directed

Technical writing

Tools

Benchmarks tooling

Open‑source notebooks

Job description

LlamaIndex in San Francisco seeks a highly technical ML engineer to produce authentic technical content at high velocity, combining document AI expertise with strong writing skills. You will build benchmarks, publish analyses, and help position us as the leader in document understanding.

This role is hands-on: you will write real code, run experiments, and translate work into published content at a pace faster than academic publishing.