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Browse remote RAG positions — retrieval-augmented generation pipeline development, vector search engineering, and document AI roles at companies building knowledge-intensive LLM products.
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Posted 6 months ago
Applications closedNeuvelle AI
Remote
Chicago, United States (UTC-6)
We are a healthtech company building AI-assisted clinical documentation tools. We have a working product. We have paying customers. And we have a set...
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We believe that language models, used carefully, can make expert knowledge accessible to people who can't afford to pay for it. We're building an AI l...
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Posted 6 months ago
Applications closedQuantumEdge
Remote
New York, United States (UTC-5)
We ship AI features every two weeks. Sometimes they're better than the previous version. Sometimes they're not. We don't always know which until a use...
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Posted 6 months ago
Applications closedArctis Analytics
Remote
We operate a large Arabic-language news and content platform. We want to build an AI-powered semantic search and content recommendation system in Arab...
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Posted 6 months ago
Applications closedCortex AI
Remote
Situation: 8 years of consulting reports. Thousands of PDFs. Analysts spend 40 minutes searching before they start writing anything new — often duplic...
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Posted 6 months ago
Applications closedHangul AI
Remote
Denver, United States (UTC-7)
Okay so here's the deal. We're a tiny team — five people — building automation tools for small law firms. Think client intake forms that fill themselv...
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Posted 6 months ago
Applications closedTalentFlow AI
Remote (US)
We build AI tools for hospital systems. Our newest product automatically summarises clinical notes for care transitions — when a patient is discharged...
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We operate a global content platform used by 20 million people across 30+ countries. Search is one of our most important product surfaces — and honest...
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Posted 6 months ago
Applications closedRiviera Health AI
Remote
We run a fashion e-commerce platform with 2 million active users. We want to use generative AI to personalise product descriptions, generate outfit re...
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Posted 6 months ago
Applications closedOceanAI
Remote
We're building an AI system for processing complex financial documents — 10-K filings, earnings transcripts, fund prospectuses. The challenge is not j...
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Role guide
RAG (Retrieval-Augmented Generation) has become one of the most in-demand specialisations in AI engineering. Remote RAG jobs involve designing retrieval pipelines that combine vector search with LLM generation — reducing hallucinations and grounding responses in verified data. Engineers who master chunking, re-ranking, and retrieval evaluation are consistently in demand.
What remote RAG engineering jobs are available?
RAG engineer roles, LLM retrieval specialists, and document AI developers. Most require Python, LangChain or LlamaIndex experience, and familiarity with at least one vector database.
Is RAG experience enough for LLM engineering jobs?
RAG is a strong specialisation, but most companies also expect broader LLM engineering skills — prompt design, evaluation, API integration, and Python production engineering alongside RAG expertise.
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