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Hire Vetted LlamaIndex Developers

Find engineers who build knowledge-intensive AI systems using LlamaIndex — from complex multi-document RAG to structured data querying and custom agent workflows.

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RAG Pipeline Engineer Document Intelligence Developer Knowledge Graph AI Engineer LLM Data Engineer Multi-Agent System Developer
NLP & Prompt Engineering

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Marshaniswah

Marshaniswah

Junior
Indonesia — Jakarta (UTC+7) Full-time, Freelance
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow keras numpy langchain +5
Open profile
Michael Kingslin

Michael Kingslin

Mid-Level
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql langchain llamaindex rag +4
Open profile
Mohsin

Mohsin

Senior
United States — New York (UTC-4) Full-time, Freelance
Automation & AI Workflows AI Product & Strategy
python langchain openai api sql rag +4
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Muhammad

Muhammad

Mid-Level
Saudi Arabia — Riyadh (UTC+3) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python pandas rag llamaindex
Open profile
Ganga

Ganga

Mid-Level
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python ai agents azure llm fine-tuning llamaindex +4
Open profile
Dupesh

Dupesh

Junior
India — Kolkata (UTC+5.5) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python sql langchain computer vision ai agents +3
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Kevin Wang

Kevin Wang

Senior
United States — Chicago (UTC-5) Full-time
AI & Machine Learning Engineers
python pytorch tensorflow langchain llamaindex +5
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Rajeshwar

Rajeshwar

Mid-Level
India — Kolkata (UTC+5.5) Full-time, Part-time
Automation & AI Workflows AI & Machine Learning Engineers
python sql rag prompt engineering vector databases +5
Open profile
Mohamed Shaad Kunhimohamed

Mohamed Shaad Kunhimohamed

Entry-level
Full Time, Part Time
AI & Machine Learning Engineers Automation & AI Workflows
python pytorch scikit-learn sql langchain +5
Open profile
Nouran Hady

Nouran Hady

Mid-Level
United States — New York (UTC-4) Freelance, Full-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python pytorch computer vision langchain openai api +2
Open profile

Hiring guide

Why companies hire LlamaIndex experts

LlamaIndex specialises in connecting LLMs to structured and unstructured data at scale. Engineers with LlamaIndex expertise build robust knowledge retrieval systems, multi-document agents, and complex data ingestion pipelines.

Popular projects

  • Build an AI that answers questions across hundreds of internal documents
  • Create a private knowledge base AI over confidential enterprise data
  • Develop a multi-source document intelligence system
  • Query structured databases and spreadsheets using natural language

What to look for

  • Production LlamaIndex experience with custom pipeline design
  • Knowledge of indexing strategies for different data types
  • Understanding of query planning and sub-question decomposition

Frequently asked questions

What is the difference between LangChain and LlamaIndex?

LangChain is more general-purpose for LLM orchestration and agent design. LlamaIndex specialises in data indexing, retrieval, and connecting LLMs to complex knowledge structures. Many production systems use both.

When should I use LlamaIndex over a custom RAG implementation?

LlamaIndex is valuable when you have complex data structures, multiple document types, or need advanced retrieval patterns. For simple single-corpus RAG, a custom implementation may be lighter and more maintainable.

Can LlamaIndex work with private enterprise data?

Yes. LlamaIndex is commonly used to build internal knowledge bases and document Q&A systems over private data — contracts, technical documentation, support tickets, and more. Engineers set up local or cloud-hosted pipelines that keep your data within your infrastructure.

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