RAG Engineer Jobs (2026)
RAG (Retrieval-Augmented Generation) Engineers build systems that combine large language models with external knowledge retrieval to produce accurate, grounded, and up-to-date responses. As enterprises deploy LLM applications, RAG has become the standard architecture for building reliable AI products.
Last updated: June 27, 2026
Latest RAG Engineer Jobs
View all jobsSenior AI/ML Engineer - Agentic AI & RAG
AI/RAG engineer
Senior AI Systems Architect (RAG & Agentic AI)- Contract Role
Senior Software Engineer - Infrastructure Storage
Senior Software Engineer II, Storage
Senior Software Engineer, Storage
Technical Product Manager, Energy Storage
Senior Software Engineer, AI Retrieval
Senior Software Engineer, AI Retrieval
Senior Storage Benchmarking Engineer
Sourcing Manager - Memory and Storage
Senior Staff Machine Learning Systems Engineer, Indexing & Retrieval Search
Senior Infrastructure Software Engineer, Storage Core
Senior Infrastructure Software Engineer, Storage Core
Sr Software Engineer, Storage
Storage Architect
Asset Manager, Energy Storage
Member of Technical Staff - Real-Time Storage
Senior Software Engineer (Storage Virtualization Team)
Senior Software Developer, Bank & Brokerage Linking
Frequently Asked Questions
What does a RAG Engineer do?
RAG Engineers design and build retrieval-augmented generation pipelines that combine LLMs with vector databases, document processing, embedding models, and search systems. They optimize retrieval quality, chunk strategies, re-ranking, and end-to-end pipeline performance. RAG has become the standard enterprise architecture for deploying reliable LLM applications, making this one of the fastest-growing specializations as AI job openings have increased 25.2% year-over-year.
What skills do RAG engineers need?
Key skills include Python (required in 47-58% of AI job listings), vector databases (Pinecone, Weaviate, ChromaDB, Qdrant), embedding models, LLM APIs, LangChain or LlamaIndex, document parsing, and evaluation frameworks. Cloud platform experience with AWS, GCP, or Azure is increasingly essential for production deployments. Understanding of information retrieval, search relevance, and SQL (used by 50% of developers) rounds out the skill set for competitive candidates.
What is the salary for RAG engineers?
RAG engineer salaries align closely with LLM engineer compensation, ranging from $101K-$220K for mid-level roles and $220K-$350K+ for senior positions. AI Engineers working on RAG systems average $140K-$185K in base salary with total comp around $211K. Remote RAG engineering roles are widely available since AI jobs are 3x more likely to offer remote work than non-AI positions. Location premiums of 20-50% apply in SF, NYC, and Boston.
AI Job Insights for RAG Engineer Jobs
Salary Range (Yearly, USD)
$48K - $585K
Median $225K from 39 listings with salary data
Top Companies Hiring
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Common Roles
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In-Demand Skills
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