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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 6 months ago
Applications closedMeridian Analytics
Remote
Los Angeles, United States (UTC-8)
We spent three years building a no-code workflow automation tool. It didn't work. Not because the technology was wrong, but because we could never fin...
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Posted 6 months ago
Applications closedNovaSpark AI
Remote
Los Angeles, United States (UTC-8)
We got into YC six months ago. We launched three months ago. We have 11,000 users and $0 in VC funding beyond our YC check, which means every decision...
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Posted 6 months ago
Applications closedNexora
Remote
Denver, United States (UTC-7)
Fixed-scope project. We have a B2B SaaS product that uses GPT-4o to generate first-draft RFP responses for procurement teams. The current system promp...
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Posted 6 months ago
Applications closedLogiSense AI
Remote
Los Angeles, United States (UTC-8)
We build an AI research assistant for universities and research institutions. The system ingests thousands of academic PDFs, extracts and indexes doma...
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Posted 6 months ago
Applications closedNordBot AI
Remote
New York, United States (UTC-5)
We are a venture studio, which means we build companies rather than joining them. We currently have four active portfolio companies at different stage...
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Posted 6 months ago
Applications closedLuminary AI
Remote
Chicago, United States (UTC-6)
We build a consumer AI assistant used by 1.4 million people daily. The assistant helps users draft text, navigate complex decisions, and get reliable...
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Posted 6 months ago
Applications closedNeuvelle AI
Remote
Los Angeles, United States (UTC-8)
We are building a knowledge assistant for our internal teams and need a developer to design and implement the RAG (Retrieval-Augmented Generation) pip...
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Posted 6 months ago
Applications closedGulf Analytics
Remote
New York, United States (UTC-5)
We run a compliance and training company for mid-sized businesses across financial services and healthcare. We have approximately 3,200 policy documen...
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Posted 6 months ago
Applications closedPhotonSense
Remote
Los Angeles, United States (UTC-8)
We want to be honest about what it's like to be junior at our company, because we think it matters when you're deciding where to grow. You'll write co...
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Posted 6 months ago
Applications closedSolaria Data
Remote
New York, United States (UTC-5)
We are a 200-person technology consulting firm specialising in AI transformation engagements for enterprise clients in financial services, insurance,...
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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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