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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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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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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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As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Dat...
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Posted 2 months ago
Research Engineer, Knowledge Team
Anthropic
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society...
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Posted 4 weeks ago
Applications closedAI Essay Feedback Prompt Engineer
Maltex AI
Remote
London, United Kingdom (UTC+0)
The feedback you design will reach 50,000 secondary school students every week, and most of them will read it on a phone between classes. Maltex AI gi...
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Posted 4 weeks ago
Applications closedSenior AI Search Product Strategy Lead
Quelion Cloud
Remote
Dublin, Ireland (UTC+0)
The team: 22 engineers, four ML scientists and a design lead, all working on search infrastructure used by e-commerce and SaaS companies. The product:...
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Posted 4 weeks ago
Applications closedSenior AI Contract Obligation Tracking Engineer
Selvix Works
Remote
New York, United States (UTC-5)
Signed contracts don't end when the ink dries. Renewal windows, price escalators, audit rights and notice periods sit buried in thousands of PDFs, and...
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Posted 4 weeks ago
Applications closedAI Docs Search RAG Engineer
Yentrix Works
Remote
Sao Paulo, Brazil (UTC-3)
LlamaIndex, OpenAI embeddings, FastAPI and a Postgres-backed vector index sit underneath the 'Ask the docs' widget that runs on 450 developer document...
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Posted 4 weeks ago
Applications closedJunior AI Regulatory Obligation Tagging Analyst
Delvio Solutions
Remote
New York, United States (UTC-5)
We work async across six time zones, and we trust juniors with real responsibility from week one. Delvio Solutions helps compliance teams track what n...
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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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