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Remote LlamaIndex Jobs

Browse remote LlamaIndex positions — RAG pipeline engineering, document intelligence, and LLM retrieval system development at AI-first companies.

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RAG Engineer LLM Retrieval Engineer Document AI Developer LlamaIndex Developer Knowledge Base Engineer

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Jobs & Projects

T

Posted 6 months ago

Applications closed

NLP Engineer

TerraVision AI

Remote

Chicago, United States (UTC-6)

mid-level
full-time
English
$90,000 – $108,000
Open job
L

Posted 6 months ago

Applications closed

LLM Engineer

LogiSense AI

Remote

Los Angeles, United States (UTC-8)

mid-level
full-time
English
$100,000 – $125,000
Open job
N

Posted 6 months ago

Applications closed

RAG Pipeline Developer

Neuvelle AI

Remote

Los Angeles, United States (UTC-8)

mid-level
full-time
English
$100,000 – $130,000
Open job
G

Posted 6 months ago

Applications closed

RAG Knowledge Base System – Build

Gulf Analytics

Remote

New York, United States (UTC-5)

mid-level
freelance
English
Open job
E

Posted 6 months ago

Applications closed

NLP Engineer

EdgeML

Remote (EU / US)

UTC (UTC+0)

mid-level
full-time
English
$90,000 – $115,000
Open job
A

Posted 6 months ago

Applications closed

Agentic AI Developer – Internal Tools

Arctis Analytics

Remote

New York, United States (UTC-5)

junior
full-time
English
$110,000 – $140,000
Open job
C

Posted 6 months ago

Applications closed

RAG System Developer — Enterprise Knowledge Base

Cortex AI

Remote

senior
freelance
English
Open job
R

Posted 6 months ago

Applications closed

Prompt Engineer – Legal AI

Reiwa AI

Remote

Chicago, United States (UTC-6)

mid-level
full-time
English
$95,000 – $125,000
Open job
E

Posted 6 months ago

Applications closed

AI Agents Developer – Agentic Workflows

EdgeML

Remote

Los Angeles, United States (UTC-8)

mid-level
full-time
English
$110,000 – $145,000
Open job
E

Posted 6 months ago

Applications closed

AI Integration Engineer

Estudio AI

Remote

Los Angeles, United States (UTC-8)

mid-level
full-time
English
$100,000 – $130,000
Open job

Role guide

What to expect in remote LlamaIndex jobs

LlamaIndex is the go-to framework for building RAG systems and document intelligence applications. Remote LlamaIndex jobs involve designing retrieval pipelines, connecting LLMs to private knowledge bases, and building production systems that answer questions accurately over large document corpora. These roles require deep understanding of chunking strategies, embedding models, and retrieval evaluation.

What you'll work on

  • Build RAG systems that answer questions over enterprise knowledge bases and documents
  • Design multi-document retrieval pipelines with re-ranking for accuracy
  • Create agents that query structured and unstructured data sources with LlamaIndex
  • Develop evaluation pipelines to measure retrieval and generation quality

What companies look for

  • LlamaIndex core abstractions — nodes, indices, query engines, retrievers
  • Chunking strategy design and embedding model selection for retrieval quality
  • Integration with vector stores (Pinecone, Weaviate, pgvector) and LLM APIs

Frequently asked questions

What is the difference between LlamaIndex and LangChain for remote jobs?

LlamaIndex specialises in document retrieval and RAG pipelines. LangChain is broader — covering agents, chains, and general LLM orchestration. Many companies use both. Job listings often list both as desirable.

Do LlamaIndex jobs require vector database experience?

Almost always. Pinecone, Weaviate, Chroma, and pgvector are the most common. Understanding how embedding similarity search works is essential for RAG engineering roles.

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