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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 closedLuminary AI
Remote
Berlin, Germany (UTC+1)
Our support bot is not a disaster, but it is underperforming enough that confidence has dropped. We want a freelancer who can diagnose retrieval, prom...
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Posted 5 months ago
Applications closedDeepwave Systems
Remote
New York, United States (UTC-5)
We are a cybersecurity company. We build threat intelligence and security operations platforms for enterprise customers — financial institutions, crit...
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Posted 5 months ago
Applications closedTalentHarbor AI
Remote
London, United Kingdom (UTC+0)
Legal teams use our product to find risky clauses, compare fallback language, and summarise negotiation deltas. We need an NLP engineer who cares abou...
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Posted 5 months ago
Applications closedAgroSense AI
Remote
Toronto, Canada (UTC-5)
Our revenue operations team reviews hundreds of recorded calls each week to understand quality, objections, and coaching opportunities. We are hiring...
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Posted 5 months ago
Applications closedVectorMind
Hybrid (Paris, FR)
Paris, France (UTC+1)
A strategy team inside a global industrial group wants better support for internal research, memo drafting, and source synthesis. We are hiring a prom...
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Posted 5 months ago
Applications closedKensoAI
On-site (Singapore)
Singapore, Singapore (UTC+8)
We are a government technology agency based in Singapore. We build and operate the digital infrastructure and citizen-facing services for the Singapor...
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Posted 5 months ago
Applications closedMeridian Analytics
Remote
Vancouver, Canada (UTC-7)
Most teams working with LLMs spend more time talking about output quality than measuring it properly. We would like to stop doing that. This role is f...
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Posted 5 months ago
Applications closedNexora
Remote
Los Angeles, United States (UTC-8)
This is not a pure prompt-writing job, even though that is the title we are using. We need someone who can improve LLM outputs in a product used by sa...
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Posted 5 months ago
Applications closedNeuvelle AI
Remote
London, United Kingdom (UTC+0)
We transcribe, summarise, and structure customer conversations for sales and success teams. The challenge is not getting a model to say something plau...
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Posted 5 months ago
Applications closedFlowCore AI
Remote
Toronto, Canada (UTC-5)
This SaaS company already uses generative AI in customer support, but the current system is uneven. The answers are sometimes helpful, sometimes vague...
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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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