04 AI Content Engineer San Francisco

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

Join us and help shape the future of AI by architecting next-generation knowledge systems.

Join us and help shape the future of AI by defining the narrative around document understanding.

About the Role

We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding.

This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.

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)

Required 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

Preferred Qualifications

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

Location

In-person in San Francisco.

Why Join Us?

Shape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception.

Technical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities.

High Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains.

Growth Opportunity: Help build this function from the ground up as we scale.

Pursuant to the SanFrancisco 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.

Values We Look For

We operate with complete honesty and stay true to our mission.

02

We adapt quickly, solve creatively, and thrive in ambiguity.

Exceptional Drive & Execution

We think strategically and deliver results with urgency.

04

Elevate & Empower

We share knowledge, build trust, and help teammates excel.

05

Deep Expertise

We value and cultivate deep domain knowledge. True innovation comes from mastering our craft andunderstanding the nuances of our field.