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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 closedIntevo AI
Remote
New York, United States (UTC-5)
We serve over 200 marketplace sellers whose buyer disputes currently take an average of four days to resolve by a human agent reading through message...
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Posted 3 months ago
Applications closedQuelion Cloud
Remote
Denver, United States (UTC-7)
As a fully async team, we believe great engineers do their best work without someone watching over their shoulder. Voice queries rank differently than...
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Posted 3 months ago
Applications closedNelvix Labs
Remote
Chicago, United States (UTC-6)
We just closed our Series A and are scaling fast. We need a contract engineer who can ship a real-time coaching layer that whispers compliance reminde...
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Posted 3 months ago
Applications closedEmrex AI
Remote
Los Angeles, United States (UTC-8)
Have you ever wanted to build the layer that decides whether an LLM's tool call actually matches what the user asked for, rather than just hoping it d...
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Posted 3 months ago
Applications closedZenora Labs
Remote
Los Angeles, United States (UTC-8)
Hallucination rate, langchain retrieval quality, and statistical significance testing are the core of what we build here. Every model vendor reports t...
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Posted 3 months ago
Applications closedMevra Labs
Remote
Chicago, United States (UTC-6)
We don't care where you work from. We care about output, clear communication, and ownership over the parts of the system you touch. Right now, wheneve...
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Posted 3 months ago
Applications closedBreva AI
Remote
New York, United States (UTC-5)
We're building the next generation of AI-powered compliance tools and need an engineer who can turn hours of raw deposition footage into searchable, t...
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Posted 3 months ago
Applications closedMevra Labs
Remote
London, United Kingdom (UTC+0)
Have you ever wanted to build search that actually understands intent instead of just matching keywords? We publish internally and encourage conferenc...
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Posted 3 months ago
Applications closedTuvex Solutions
Remote
Kolkata, India (UTC+5:30)
Our team works async across 9 time zones, and we trust engineers to work from wherever they're most productive as long as they document their reasonin...
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Posted 3 months ago
Applications closedBreva AI
Hybrid
New York, United States (UTC-5)
We serve compliance departments at mid-size financial firms that receive dozens of whistleblower reports a month and need to triage severity fast. You...
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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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