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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 1 month ago
Applications closedQuelion Cloud
Hybrid
Chicago, United States (UTC-6)
LangChain, Hugging Face models, and a home-grown retrieval layer are the core of our search stack. If you've spent time making search engines understa...
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Posted 1 month ago
Applications closedVordex Tech
Remote
Dublin, Ireland (UTC+0)
You'll be the second prompt-focused hire on a team of nine, working directly with our accessibility research lead to make screen-reader-friendly AI ou...
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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 closedMevra Labs
Remote
New York, United States (UTC-5)
The models you'll ship will handle millions of search queries every week, many of which are typed wrong, phrased ambiguously, or missing key context t...
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Posted 1 month ago
Applications closedGlyph Systems
Remote
New York, United States (UTC-5)
Our mission is to make local government legible to the people it serves. Right now, ballot initiatives are written in dense legal language that most v...
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Posted 1 month ago
Applications closedJarvik Solutions
Remote
Chicago, United States (UTC-6)
We serve over 200 enterprise clients, and every one of them leaves feedback somewhere different: support tickets, NPS surveys, sales call notes, revie...
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Posted 1 month ago
Applications closedQuilvex Systems
Remote
Los Angeles, United States (UTC-8)
Our team just grew to a dozen people, and you'd be the third NLP engineer joining, working directly with our data science group on document understand...
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Posted 1 month ago
Applications closedQuelion Cloud
Remote
Los Angeles, United States (UTC-8)
Our team just grew to a dozen people, and you'd be the third analytics engineer joining the search relevance group. We already have solid instrumentat...
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Posted 1 month ago
Applications closedJarvik Solutions
Remote
Lisbon, Portugal (UTC+0)
As a fully async team spread across 9 time zones, we believe great engineers don't need to be in the same room to ship something customers rely on dai...
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Posted 1 month ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
We're building the next generation of AI-powered compliance tools for clinical trial sponsors, and our documentation stack is the part regulators scru...
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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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