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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 5 months ago
Applications closedSoltix AI
Remote
London, United Kingdom (UTC+0)
Professional translators reuse previous translations to maintain consistency — the same product name should be translated the same way every time, acr...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
Chicago, United States (UTC-6)
Knowledge graphs are only as useful as their schema. A poorly designed ontology creates a graph where nothing connects properly — entities are duplica...
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Posted 5 months ago
Applications closedMevra Labs
Remote
New York, United States (UTC-5)
Traditional search returns a list of links. Our conversational search returns an answer — synthesized from internal knowledge bases, with citations, f...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
Support teams drown in repetitive questions that already have answers — scattered across wikis, past tickets, product docs, and Slack threads. Our AI...
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Posted 5 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Our platform indexes 50 million academic papers, and researchers want more than search — they want AI-generated literature reviews. Given a research q...
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Posted 5 months ago
Applications closedBreva AI
Remote
London, United Kingdom (UTC+0)
We've already built the document classification layer — now we need someone to make it smart. Our legal tech platform processes 4 million documents a...
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Posted 5 months ago
Applications closedNavio Tech
Remote
London, United Kingdom (UTC+0)
Technical documentation gets outdated the moment it's published. API references drift from actual behavior. User guides describe features that have ch...
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Posted 5 months ago
Applications closedEmrex AI
Remote
London, United Kingdom (UTC+0)
We don't care where you work from. We care about output, clear communication, and ownership. Our team of 18 is spread across 6 countries, and we've sh...
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Posted 5 months ago
Applications closedSynaptic Labs
Remote (Brazil)
Sao Paulo, Brazil (UTC-3)
We are an educational technology company based in São Paulo. We serve 3.4 million students across Brazil — from primary school to university preparati...
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Posted 5 months ago
Applications closedLogiSense AI
Remote
Toronto, Canada (UTC-5)
A good enterprise search result saves five minutes. A bad one creates ten minutes of doubt. We need someone who cares about that difference. This role...
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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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