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Llamaindex Jobs (NOW HIRING)

LlamaIndex

Technical Recruiter

San Francisco, CA · On-site

$100K - $140K/yr

About LlamaIndex LlamaIndex is building the document infrastructure layer for AI agents- from industry-leading document OCR with LlamaParse to workflow products that help enterprises automate ...

LlamaIndex

Founding Talent Lead

San Francisco, CA · On-site

$150K - $200K/yr

About LlamaIndex LlamaIndex is building the document infrastructure layer for AI agents- from industry-leading document OCR with LlamaParse to workflow products that help enterprises automate ...

LlamaIndex

Lead Product Manager

San Francisco, CA · On-site

$180K - $280K/yr

About the role LlamaIndex is on a mission to revolutionize how organizations utilize their knowledge by building cutting-edge AI-powered agents/tools to enhance enterprise knowledge workflows. As a ...

LlamaIndex

Lead Product Manager

San Francisco, CA · On-site

About the Role LlamaIndex is on a mission to revolutionize how organizations utilize their knowledge by building cutting-edge AI-powered agents/tools to enhance enterprise knowledge workflows. As a ...

LlamaIndex

Developer Evangelist

San Francisco, CA · On-site

$130K - $250K/yr

About LlamaIndex LlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents ...

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Llamaindex information

How does a LlamaIndex engineer typically collaborate with data scientists and other team members during the development of AI-driven applications?

A LlamaIndex engineer often works closely with data scientists, product managers, and software engineers to design and implement robust data pipelines for large language model (LLM) applications. Collaboration usually involves regular meetings to align on data requirements, model performance metrics, and integration points. Engineers are responsible for ensuring data is efficiently indexed, accessible, and up-to-date, while also providing technical insights to optimize retrieval and performance. Effective communication and teamwork are key, as projects are often cross-functional and iterative, requiring ongoing feedback and adaptation.

What is the difference between Llamaindex vs Data Analyst?

AspectLlamaindexData Analyst
Required credentialsTypically requires knowledge of data management, APIs, and AI toolsBachelor's degree in statistics, mathematics, or related field; often requires certifications in data analysis
Work environmentTech companies, AI startups, data-driven organizationsBusiness, finance, healthcare, and other industries with data needs
Employer and industry usageUsed by organizations integrating AI and data indexing solutionsCommon in industries analyzing large datasets for insights
Search and comparison intentUnderstanding AI data tools vs traditional data analysis rolesComparing AI-driven data indexing tools with traditional data analysis

While Llamaindex focuses on AI-powered data management and integration, Data Analysts primarily interpret and analyze data to inform business decisions. Both roles require data literacy but differ in technical focus and work environment.

What is LlamaIndex?

LlamaIndex is an open-source data framework that helps developers connect large language models (LLMs) to various data sources. It provides tools to ingest, organize, and query data, making it easier for LLMs to retrieve relevant information from documents, databases, APIs, and more. LlamaIndex streamlines the development of LLM-powered applications by managing data pipelines and facilitating efficient, context-aware interactions with external or private data. This enables more useful, accurate, and customizable AI solutions for a wide range of use cases.

What are the key skills and qualifications needed to thrive as a LlamaIndex Engineer, and why are they important?

To thrive as a LlamaIndex Engineer, you need strong programming skills in Python, experience with data structures, and a solid understanding of information retrieval concepts, typically supported by a degree in computer science or a related field. Familiarity with LlamaIndex's framework, knowledge of vector databases (like FAISS or Pinecone), and experience with machine learning libraries are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and building scalable data solutions. These skills ensure the delivery of efficient, reliable systems that support advanced data indexing and retrieval tasks.
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Llamaindex jobs near you
Infographic showing various Llamaindex job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.
Technical Recruiter

Technical Recruiter

LlamaIndex

San Francisco, CA • On-site

$100K - $140K/yr

Full-time

Posted 1 hour ago

Key responsibilities

  • Own full-cycle recruiting for primarily technical roles, from search strategy and sourcing through offer negotiation and close.

  • Source exceptional candidates through direct outreach, LinkedIn Recruiter, AI-powered sourcing tools, referrals, open-source communities, and other creative channels.

  • Partner closely with hiring managers to define requirements, calibrate on profiles, run high-signal interview loops, and keep candidates moving as priorities shift.

Job description

Join us and help shape the future of AI by defining the narrative around document understanding.
About LlamaIndex
LlamaIndex is building the document infrastructure layer for AI agents- from industry-leading document OCR with LlamaParse to workflow products that help enterprises automate knowledge work over documents.
We're growing quickly, and hiring is one of the highest-leverage things we do.
About the Role
We're looking for a hands-on Technical Recruiter to own hiring end-to-end across some of our most important roles.
Your primary focus will be technical hiring across AI/ML, infrastructure, full-stack engineering, and developer tools, with secondary coverage across GTM and marketing as we scale.
This is an execution-heavy role for someone who gets energy from sourcing, screening, calibrating, closing, and keeping candidates moving. It is not a pure strategy or management-track role. You should be excited to turn ambiguous hiring needs into calibrated searches, strong candidate slates, and signed offers quickly.
You should also know how to use AI-powered recruiting tools thoughtfully- using them to increase speed and reach without letting automation compromise quality.
What You'll Do
  • Own full-cycle recruiting for primarily technical roles, from search strategy and sourcing through offer negotiation and close.
  • Build a strong understanding of our products, technical stack, and culture so you can assess candidates accurately and represent LlamaIndex well in the market.
  • Source exceptional candidates through direct outreach, LinkedIn Recruiter, AI-powered sourcing tools, referrals, open-source communities, and other creative channels.
  • Partner closely with hiring managers to define requirements, calibrate on profiles, run high-signal interview loops, and keep candidates moving as priorities shift.
  • Deliver high-quality candidate slates with strong judgment around technical depth, motivation, trajectory, and fit.
  • Use AI recruiting tools responsibly by tuning filters, reviewing output carefully, and optimizing for quality over volume.
  • Track pipeline metrics, surface bottlenecks, and iterate on sourcing strategies to hit hiring goals.
  • Own candidate experience from first touchpoint through close, ensuring every interaction reflects LlamaIndex's brand and values.

What We're Looking For
  • 2+ years of full-cycle recruiting experience, ideally in a high-growth startup or technical recruiting environment.
  • A strong track record hiring technical talent across AI/ML, infrastructure, platform engineering, full-stack engineering, or developer tools.
  • Strong sourcing ability, with the creativity and persistence to find and engage passive candidates in competitive markets.
  • The ability to go deep quickly on unfamiliar technical domains and build credibility with hiring managers and candidates.
  • Strong talent judgment, with the ability to deliver high-precision slates and reduce calibration cycles.
  • Hands-on fluency with modern sourcing and AI recruiting tools, with good judgment around quality, signal, and automation.
  • High ownership, speed, follow-through, and communication skills.

Nice to Have
  • Familiarity with the AI/ML ecosystem, open-source developer communities, or developer tools.
  • Experience supporting GTM, marketing, or non-technical hiring in addition to technical roles.
  • Experience coordinating with external agencies or recruiting vendors.

Location
This role is in-person at our downtown San Francisco office.
Having our recruiter on-site matters. You'll need to understand our culture firsthand, stay close to the teams you're hiring for, meet candidates who visit the office, and build trust with hiring managers in real time.
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.

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