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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 closedBrenvo Tech
Remote
London, United Kingdom (UTC+0)
Forty thousand hotel guests interact with our AI concierge every month — asking about room service hours, requesting late checkouts, booking spa appoi...
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Posted 5 months ago
Applications closedWavion Intelligence
Remote
London, United Kingdom (UTC+0)
We process and analyze 2 million news articles per day across 40 languages for financial intelligence clients. Our NLP pipeline handles entity extract...
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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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Posted 5 months ago
Applications closedQuelion Cloud
Remote
New York, United States (UTC-5)
Search quality is the difference between a product people love and a product people abandon. Our enterprise search platform serves 60 clients who've i...
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Posted 5 months ago
Applications closedLontex Tech
Remote
Los Angeles, United States (UTC-8)
LLM context windows keep getting longer, but throwing 200K tokens at every query is like using a firehose to water a plant. Our platform helps enterpr...
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Posted 5 months ago
Applications closedMevra Labs
Hybrid
New York, United States (UTC-5)
Somewhere between pure research and pure engineering, there's a sweet spot where reading papers on Monday leads to shipping code on Friday. That's thi...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
London, United Kingdom (UTC+0)
We've built one of the largest enterprise knowledge graphs in the legal sector — 14 million nodes, 89 million edges, covering case law, statutes, and...
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Posted 5 months ago
Applications closedUlara AI
Remote
London, United Kingdom (UTC+0)
Eighty thousand customer support tickets a month. That's what our clients' teams handle, and our AI assistant already resolves 40% of them automatical...
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Posted 5 months ago
Applications closedYovex Intelligence
Remote
Los Angeles, United States (UTC-8)
We have 120 production prompts powering a B2B document intelligence platform. Some are brilliant. Some are held together with duct tape and few-shot e...
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Posted 5 months ago
Applications closedGlyph Systems
Remote
New York, United States (UTC-5)
Public records — permits, court filings, property transfers, business registrations — contain critical information that journalists, researchers, and...
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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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