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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 2 months ago
Applications closedQuelion Cloud
Remote
New York, United States (UTC-5)
Hugging Face models, retrieval-augmented ranking, and a search index handling millions of queries a day are the core of what this team builds. If tuni...
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Posted 2 months ago
Applications closedNortex Solutions
Remote
Chicago, United States (UTC-6)
Our mission is to give operations teams visibility into contract obligations they currently track in spreadsheets and shared drives. This role turns t...
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Posted 2 months ago
Applications closedQuelva Works
Remote
London, United Kingdom (UTC+0)
You'll be the second automation engineer on a team of five, working directly with the process mining lead who designed our existing workflow architect...
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Posted 2 months ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
Our mission is to make large language models cheap enough to run at massive scale without sacrificing quality. This role sits right at that tension. Y...
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Posted 2 months ago
Applications closedJarvik Solutions
Remote
Denver, United States (UTC-7)
Our clients include mid-market SaaS companies that route thousands of support conversations through our NLP layer every day. Reliability and latency a...
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Posted 2 months ago
Applications closedBreva AI
Remote
Chicago, United States (UTC-6)
Litigation teams spend weeks manually searching directories, prior case filings and academic publications to find qualified expert witnesses, and half...
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Posted 2 months ago
Applications closedQuelion Intelligence
Remote
London, United Kingdom (UTC+0)
The models you'll ship will be used by knowledge workers at hundreds of enterprise customers every time they search their internal wikis, tickets, and...
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Posted 2 months ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
Prompt caching, RAG quality, and multi-model routing are the core of what we build. Long-running agent sessions keep hitting context window limits mid...
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Posted 2 months ago
Applications closedBreva AI
Remote
Chicago, United States (UTC-6)
Litigation teams spend weeks manually searching directories, prior case filings and academic publications to find qualified expert witnesses, and half...
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Posted 2 months ago
Applications closedQuelion Intelligence
Remote
London, United Kingdom (UTC+0)
The models you'll ship will be used by knowledge workers at hundreds of enterprise customers every time they search their internal wikis, tickets, 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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