---
title: 'AI Content Engineer at LlamaIndex'
canonical: 'https://feeny.ai/job/ai-content-engineer-llamaindex-san-francisco-6kz2ab2gp5ac'
type: 'job'
last_seen: '2026-09-10'
---

# AI Content Engineer at LlamaIndex

- **Company:** LlamaIndex
- **Location:** San Francisco, CA
- **Compensation:** $140k–$220k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/llamaindex/36a0249e-a672-44df-a08e-b5a5523dec26

## Job description

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
- Scrappy and self-directed - can identify what's worth writing about and execute end-to-end
- 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 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.

## About LlamaIndex

## Company Overview
- **One-liner**: LlamaIndex provides an enterprise-grade agentic document processing platform that uses AI to parse, extract, index, and retrieve data from complex, multi-modal documents.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Jerry Liu (Co-Founder)

## Core Business
- **Primary industry/industries**: AI Document Processing, Enterprise Infrastructure, Data Retrieval & RAG (Retrieval-Augmented Generation)
- **Target customers**: B2B; Enterprise (Fortune 50), SMB, and developers building production-grade AI workflows.
- **Mission or purpose statement**: "Our mission is to automate knowledge work, beginning with the hardest frontier: documents."

## Products & Services
- **LlamaParse**: Industry-leading document parser for 50+ unstructured file types (PDFs, Office docs, images, handwritten notes). Supports embedded images, complex layouts, and multi-page tables. Available as a cloud service or for local/on-premise deployment.
- **LiteParse**: Open-source, lightweight document parser for local processing. Parses text from PDFs, Office docs, and images without requiring cloud services or LLM tokens.
- **Extraction Agents**: LLM-powered, schema-based extraction agents that turn unstructured content into structured data without training.
- **Indexing & Retrieval Pipeline**: Enterprise-grade chunking and embedding pipeline for RAG, designed for precision and relevance.
- **LlamaAgents**: Enables developers to build reliable, production-ready workflows around documents, covering ingestion, extraction, reasoning, and automation.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding of **$28.5M** across 4 rounds.
- **Notable Investors/Partners**: Greylock (lead Seed), Norwest (lead Series A), Databricks Ventures, KPMG Ventures, Amazon Web Services (AWS). Backed by world-class investors including Jack Altman (Alt Capital), Lenny Rachitsky, Mathilde Collin, Raquel Urtasun, and Joseph E. Gonzalez.
- **Growth Signals**:
    - 25M+ package downloads per month.
    - 300k+ LlamaParse users.
    - 1.5k+ open-source contributors and 20k+ community members.
    - One of the largest developer communities in GenAI.
    - Headcount grew **62.3% YoY** (from ~27 to 44 employees).
    - 1 billion+ documents processed.
    - Used by the fastest-growing AI companies and the Fortune 50.
    - Active job postings increased **100% year-over-year** (8 open roles).

## Competitive Advantages
- **Massive Developer Community & Open-Source Roots**: With 25M+ monthly downloads and 20k+ community members, LlamaIndex has deep adoption and mindshare among AI developers, creating a strong network effect.
- **Agentic Document OCR Leadership**: Positioned as the "world’s best agentic document OCR," combining VLM-powered understanding with natural language workflow building, making it uniquely suited for complex, messy documents.
- **Enterprise-Grade Security & Compliance**: HIPAA, GDPR, and SOC2 compliant out-of-the-box, with granular access controls, data encryption, and flexible deployment (cloud or fully in VPC).
- **99.9% Uptime SLA**: Infrastructure built for always-on document processing under real production load.
- **Dedicated Support & SLAs**: Tailored to mission-critical AI workloads, with fast response times.

## Strategic Focus
- **Product Expansion**: Continuing to build out the LlamaAgents platform for end-to-end document workflow automation, moving beyond just parsing and extraction.
- **Enterprise Sales**: Hiring dedicated Sales Leaders and Account Executives for Mid-Market and Enterprise segments in North America and EMEA.
- **Open-Source Community Growth**: Maintaining a strong open-source presence while building a commercial enterprise product around it.
- **Industry Verticals**: Targeting document-heavy industries like Manufacturing, Finance, Insurance, Healthcare, and Risk.

## Why Work Here
- **Impactful Mission**: Ground-floor opportunity at the center of the AI revolution, building tools used by millions worldwide to "automate knowledge work."
- **Culture**: Values include being goal-oriented, transparent about wins and mistakes, debating fast and committing fully, assuming best intent, and prioritizing the best idea over hierarchy. Described as a "small team driving far-reaching impact."
- **Work Policy**: Fully supported hybrid & remote work. Beautiful, easily accessible office in San Francisco.
- **Compensation & Benefits**:
    - Competitive base salary & equity compensation.
    - Generous equipment allowance.
    - Flexible PTO to recharge and rest.
    - Medical, dental, and vision for you & your family.
    - Daily catered lunches & snacks in the office.
    - Ongoing professional development opportunities.
- **Team & Culture Highlights**: Collaborative team of passionate individuals pushing boundaries. Emphasis on shipping quickly but thoughtfully, with a focus on reliability and scalability.

## Sources
1. [llamaindex.ai](https://www.llamaindex.ai/)
2. [llamaindex.ai/about](https://www.llamaindex.ai/about)
3. [llamaindex.ai/careers](https://www.llamaindex.ai/careers)
4. [linkedin.com/company/llamaindex](https://www.linkedin.com/company/llamaindex)

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