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Remote RAG Engineering Jobs
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 weeks ago
Forward Deployed Engineer, Agentic Platform (UK Public Sector)
Cohere
United Kingdom
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 3 weeks ago
Staff Product Engineer
Parloa
Berlin Office; London Office; Munich Office; Remotely in Germany; Remotely in the UK
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates,...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-t...
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Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-t...
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UnWired Web Solutions is a Canadian digital marketing, web and SEO agency that builds AI-driven platforms for clients and our own products. We need a...
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Posted 1 month ago
Forward Deployed Engineer, Enterprise
Tavily
London, United Kingdom; Remote - Europe
Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering,...
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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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