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Browse vetted remote LlamaIndex positions — RAG pipeline engineering, document intelligence, and LLM retrieval system development at AI-first companies.
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Posted 1 day ago
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications an...
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Posted 1 day ago
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications an...
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Posted 2 days ago
Join us and help shape the future of AI by defining the narrative around document understanding.About the RoleLlamaIndex makes enterprise data useful...
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Posted 3 days ago
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We...
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Posted 5 days ago
Why Integrations Engineering at LangfuseYour work puts Langfuse into developers’ hands.Our SDKs are downloaded 26M+ times per month, and for many deve...
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Posted 5 days ago
About Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, w...
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Posted 5 days ago
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 5 days ago
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 6 days ago
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible...
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Posted 6 days ago
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible...
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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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