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Browse remote LlamaIndex positions — RAG pipeline engineering, document intelligence, and LLM retrieval system development at AI-first companies.
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Posted 1 month ago
Applications closedBrenvo Tech
Remote
Johannesburg, South Africa (UTC+2)
We don't care where you work from. We care about clear communication, steady output, and whether your prompt changes actually reduce chatbot escalatio...
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Posted 1 month ago
Applications closedWavion Intelligence
On-site
Tokyo, Japan (UTC+9)
We serve enterprise clients across 14 countries who each expect our AI assistant to sound like it was built specifically for their market, not transla...
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Posted 1 month ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
You'll be the sixth engineer on a team of 20, working directly with our LLM platform leads on the layer that keeps multi-agent workflows from silently...
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Posted 3 months ago
Applications closedMendra Intelligence
Remote
London, United Kingdom (UTC+0)
You'll be the second RAG specialist on a small team of six, reporting directly to our head of engineering. What we have already: a working fraud detec...
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Posted 3 months ago
Applications closedLontex Tech
Remote
Los Angeles, United States (UTC-8)
Context windows, tool routing, and multi-agent orchestration are the core of what we build. If you've debugged a production incident caused by an agen...
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Posted 3 months ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
Have you ever wanted to build the layer that decides whether an LLM's tool call actually matches what the user asked for, rather than just hoping it d...
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Posted 3 months ago
Applications closedTuvex Solutions
Remote
UTC (UTC+0)
Have you ever searched a help center and found an article that was clearly written for a product version from two years ago? LangChain, retrieval-augm...
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Posted 3 months ago
Applications closedLontex Tech
Remote
Singapore, Singapore (UTC+8)
What happens when five specialized agents need to agree on one final answer? That's the coordination problem our retrieval and context-window teams ke...
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Posted 4 months ago
Applications closedGaltion Intelligence
Remote
Chicago, United States (UTC-6)
We power the AI assistant behind 3 major airline customer support lines. When a passenger texts about a delayed flight, rebooking options, or a lost b...
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Posted 5 months ago
Applications closedQuelion Cloud
Remote
Los Angeles, United States (UTC-8)
Keyword search is dead for our use case. Our users are patent attorneys searching through 100 million patent documents for prior art — and they need s...
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Role guide
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 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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