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Remote RAG Engineering Jobs
Browse vetted 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 1 hour ago
Senior Site Reliability Engineer (DevTools)
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 3 hours ago
Senior Product Security Engineer
About our CompanyAt Hyperscience, we believe that behind every document is a meaningful human experience, whether that’s a family applying for their m...
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Posted 7 hours ago
Software Engineer, Full Stack - UK
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 8 hours ago
Machine Learning Engineer, Evals
The RoleYou'll work across the lab on agent capability evals, benchmark design, LLM-as-judge systems, failure analysis, and the infrastructure that ti...
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Posted 9 hours ago
Team Lead, Actors
Apify is the largest marketplace of tools for AI. 40,000+ Actors helping people and agents get real-time web data, track competitors, generate leads,...
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Posted 9 hours ago
Senior ML Solutions Architect - Token Factory
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 11 hours ago
Forward Deployed Engineer
The RoleAs a Forward Deployed Engineer at Nous Research, you'll deploy and adapt Hermes Agent Enterprise inside complex customer environments. You'll...
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Posted 15 hours ago
Senior Applied AI Solutions Engineer
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 21 hours ago
Partner Solutions Architect
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 23 hours ago
Partner Solutions Architect
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Role guide
What to expect in remote RAG jobs
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 you'll work on
- Design end-to-end RAG pipelines for enterprise knowledge base Q&A systems
- Optimise chunking strategies and embedding models for retrieval accuracy
- Implement re-ranking and hybrid search to improve RAG response quality
- Build evaluation pipelines that measure faithfulness, relevance, and groundedness
What companies look for
- End-to-end RAG pipeline design — ingestion, chunking, embedding, retrieval, generation
- Vector store integration (Pinecone, Weaviate, pgvector, Chroma)
- RAG evaluation frameworks — RAGAS, TruLens, or custom scoring pipelines
Frequently asked questions
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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