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Llamaindex Jobs (NOW HIRING)

LlamaIndex

Technical Recruiter

San Francisco, CA · On-site

$120K - $160K/yr

About the Role LlamaIndex is building the document infrastructure layer for AI agents - from industry-leading document OCR (LlamaParse) to a document workflow platform (LlamaAgents) that helps ...

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

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 ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY

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

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

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

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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Applied AI Solutions Architect (SF)

LlamaIndex

San Francisco, CA • On-site

$74.25 - $97.75/hr

Full-time

Posted 13 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 looking for an Applied AI Solutions Architect to sit at the intersection of enterprise sales and deep technical execution. This role is embedded directly in our revenue motion - you're the person who turns a skeptical engineering team into a champion and a promising evaluation into a signed deal.
You'll own the technical relationship from first discovery through proof of concept, working alongside Account Executives on live opportunities with the world's most ambitious AI teams. You're not just demoing a product - you're diagnosing real infrastructure problems, designing solutions, and earning trust with the people who have to live with the architecture long after the contract is signed.
What You'll Do
  • Lead technical evaluations, proofs of concept, and solution design sessions for enterprise prospects across a range of industries and use cases
  • Partner closely with AEs to de-risk deals, surface technical blockers early, and build credible paths to "yes"
  • Communicate complex AI and data infrastructure concepts clearly to both engineers and C-level stakeholders in the same conversation
  • Design and prototype solutions using LlamaIndex's platform that directly address customer requirements around accuracy, latency, cost, and scale
  • Represent the voice of the customer internally - feeding insights to Product and Engineering that sharpen the roadmap

What We're Looking For
  • Strong engineering foundation with experience in AI/ML systems, data pipelines, or enterprise software architecture
  • Demonstrated ability to work in customer-facing technical roles - pre-sales, solutions engineering, or technical consulting
  • Comfort operating under ambiguity: you can scope a problem, make reasonable assumptions, and move forward without waiting for perfect information
  • GTM instincts - you understand what it takes to build technical consensus across a buying committee
  • Clear, confident communicator who can translate system design trade-offs into business risk language for executives
  • Prior experience with LlamaIndex or LlamaCloud is not required - we care about how you think and how you ramp

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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