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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 3 months ago
Applications closedQuelva Works
Remote
New York, United States (UTC-5)
Our vendor onboarding process still takes three weeks and six people to complete. Procurement, legal, and finance all touch the same documents in sequ...
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Posted 3 months ago
Applications closedQuelion Cloud
Remote
Chicago, United States (UTC-6)
We just crossed 40 million monthly searches and zero-result queries are climbing fast. Every search that returns nothing is a user who leaves, and rig...
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Posted 3 months ago
Applications closedWavion Intelligence
Remote
Denver, United States (UTC-7)
Our search team keeps losing users who phrase a query slightly differently than our index expects. A user searching for "cheap flights next week" and...
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Posted 3 months ago
Applications closedLontex Tech
Remote
Singapore, Singapore (UTC+8)
What happens when five specialized agents need to agree on one final answer? That's the coordination problem our retrieval and context-window teams ke...
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Posted 4 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
Jorvex Studio's clients are media companies, B2B publishers, and content-first brands who produce 50-100 long-form articles per month. Optimizing thos...
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Posted 4 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Scirvex Intelligence builds AI tools for research institutions and pharmaceutical R&D teams who need to monitor the scientific literature at scale. Ev...
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Posted 4 months ago
Applications closedMevra Labs
Remote
London, United Kingdom (UTC+0)
We publish internally and encourage conference submissions — the right candidate will read recent papers, implement findings, and contribute to our re...
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Posted 4 months ago
Applications closedBreva AI
Remote
New York, United States (UTC-5)
Our data grows faster than our lawyers can read it. Breva AI processes thousands of legal briefs, court filings, and regulatory submissions every week...
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Posted 4 months ago
Applications closedRelvix Data
Remote
Los Angeles, United States (UTC-8)
We're building the search layer for modern data catalogs — not keyword lookup, but semantic retrieval that understands what a data asset actually cont...
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Posted 4 months ago
Applications closedScirvex Intelligence
Remote
London, United Kingdom (UTC+0)
The tool you'll build will be used by 10,000+ researchers who currently can't answer a simple question: who in the world is working on problems adjace...
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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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