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Llamaindex Jobs (NOW HIRING)

LlamaIndex

Technical Sourcer

San Francisco, CA · On-site

$100K - $140K/yr

About the Role LlamaIndex is looking for a Technical Sourcer to help identify and engage exceptional talent across AI, engineering, research, and product. You will partner closely with recruiters and ...

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

Developer Evangelist, Growth

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 ...

Neura Market

$120 - $180/hr

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 ...

Photon

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases ...

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Llamaindex information

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.

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 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.

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.

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Infographic showing various Llamaindex job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 61% Physical, 3% Hybrid, and 36% Remote job distribution.

Business Development Representative (BDR)

San Francisco, CA • On-site

LlamaIndex
Internet and IT • 1 - 10 employees
Learn more about LlamaIndexexternal

Full-time

Re-posted 12 days ago

Job description

Join us and help shape the future of AI by defining the narrative around document understanding.
About the Role
LlamaIndex is growing its Business Development team. In this role, you'll generate qualified meetings and pipeline for our Account Executive team through a mix of inbound MQLs, product-qualified leads (PQLs) from platform signups and usage signals, targeted outbound prospecting, and event-driven pipeline generation. You'll work closely with your paired AE(s) to turn that interest into qualified conversations with technical and business buyers evaluating LlamaIndex.
Responsibilities
  • Qualify and work inbound MQLs and product-qualified leads (PQLs) surfaced from platform signups and usage signals.
  • Build and run targeted outbound campaigns to generate net-new pipeline.
  • Represent LlamaIndex at industry events and developer meetups, turning conversations into qualified meetings.
  • Research accounts and identify the right contacts, targeting technical and business buyers, including engineers, data teams, and AI/product leaders.
  • Build and test outbound messaging across channels, iterating on what actually gets replies.
  • Partner closely with your paired Account Executive(s) on account strategy and handoff.
  • Hit weekly meeting and pipeline-generation targets.
  • Use AI tools to speed up account research, message drafting, and prospect enrichment.
  • Keep CRM records accurate on outreach, meetings booked, and lead status.
Required Qualifications
  • 6-24 months in a BDR/SDR or pipeline-generation role, with some evidence of self-sourced meetings, not purely inbound.
  • Comfortable reaching out to and qualifying technical buyers, including engineers, data, and AI/ML personas.
  • Strong written communication. Outreach that reads like a person wrote it, not a template.
  • AI-first: active user of ChatGPT, Claude, or similar for research, prospecting, and outreach drafting.
Preferred Qualifications
  • Experience at a startup or high-growth company, ideally technical SaaS, developer tools, data infrastructure, or AI/ML products.
  • Experience working a mix of inbound and outbound pipeline generation.
  • Exposure to product-led growth motions (PQLs, self-serve signups) is a plus.
Why Join Us?
  • Early Stage, Real Impact: Join early and help shape how we generate pipeline, not just execute a fixed script.
  • Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.
  • Direct Path to Growth: A clear track to Mid-Market Account Executive as you grow in the role.
  • Real Ownership: Own your accounts, your messaging, and your pipeline math end to end.
Location
San Francisco, CA.
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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