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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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Build AI contracting at enterprise scale. Ship it fast. Ironclad is building AI on one of the most consequential datasets in enterprise software: over...
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Posted 2 weeks ago
Staff Applied AI Researcher (Agentic Search)
Nebius
Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Build AI contracting at enterprise scale. Ship it fast. Ironclad is building AI on one of the most consequential datasets in enterprise software: over...
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Posted 2 weeks ago
Senior Site Reliability Engineer (DevTools)
Nebius
Amsterdam, Netherlands; Germany; Israel; London, United Kingdom; Remote - Europe; United Kingdom
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and...
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You'll work across the lab on agent capability evals, benchmark design, LLM-as-judge systems, failure analysis, and the infrastructure that ties it to...
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Apify is a marketplace of ready-to-run tools for AI that automate work on the web. Thousands of Actors get web data, generate leads, monitor social me...
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As a Forward Deployed Engineer at Nous Research, you'll deploy and adapt Hermes Agent Enterprise inside complex customer environments. You'll partner...
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Posted 3 weeks ago
Senior Applied AI Solutions Engineer
Nebius
Amsterdam, Netherlands; Remote - Europe; Remote - United States
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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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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