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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 closedBreva AI
Remote
London, United Kingdom (UTC+0)
M&A due diligence requires reviewing thousands of contracts, financial statements, and regulatory filings under extreme time pressure. A typical deal...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
Berlin, Germany (UTC+1)
We're building a knowledge graph that connects 2 million biomedical entities — genes, proteins, diseases, drugs, and clinical trials — into a queryabl...
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Posted 5 months ago
Applications closedNavio Tech
Remote
London, United Kingdom (UTC+0)
Have you ever wanted to build AI systems that actually go to production — not just demos? We ship LLM-powered features to 8,000 paying users every mon...
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Our data pipelines are growing faster than our team. We process over 4 million legal documents a month for enterprise clients across Europe, and our N...
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Posted 5 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
We just closed our Series A and are scaling fast. Our product automates customer onboarding for SaaS companies using LLM-powered workflows — think doc...
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Posted 5 months ago
Applications closedDelvio Solutions
Remote
Chicago, United States (UTC-6)
The team is 11 engineers, the product is live, and our customers are asking for more. We build an AI-powered research assistant for investment analyst...
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Posted 5 months ago
Applications closedQuilvex Systems
Remote
London, United Kingdom (UTC+0)
We have a problem most companies would love to have: too much proprietary training data and not enough people who know how to use it. Our clients in t...
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Posted 5 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Our product indexes and searches 50 million academic papers for research institutions worldwide. We've built a solid keyword search engine, but our cl...
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Posted 5 months ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
Lawyers spend 30% of their time redlining contracts — comparing draft terms against company playbooks and marking clauses that deviate from standard p...
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Posted 5 months ago
Applications closedLontex Tech
Remote
London, United Kingdom (UTC+0)
RAG systems retrieve 20 chunks and hope the right one is in there. Ours retrieves 200 candidates and re-ranks them with a learned model that understan...
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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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