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: August 17, 2026
Latest RAG Engineer Jobs
View all jobsSenior AI/ML Engineer - Agentic AI & RAG
Senior AI Systems Architect (RAG & Agentic AI)- Contract Role
AI/RAG engineer
Manager, AI Solutions & Analytics - Battery Storage
Staff/Principal Machine Learning Scientist - Ranking & Retrieval
Principal Product Manager - Knowledge Bases & Ask AI
Python Backend Development Talent with RAG and Agentic AI Experience
Aragon AI
Senior Software Engineer, AI Retrieval
Senior Software Engineer, AI Retrieval
Staff Engineer, AI Object Storage
Director of AI Products - Storage Security
Senior AI Engineer (Search / Retrieval)
Senior Manager, AI Leverage Engineering
Machine Learning Manager, Feed Relevance (Retrieval)
GenAI Engineer (Python, RAG, LLM)
CX Knowledge Base & Conversational AI Manager
Staff Machine Learning Engineer - Retrieval (x/f/m)
Senior Engineer, AI Object Storage
GenAI Engineer (Python,RAG,LLM)
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 - $555K
Median $208K from 14 listings with salary data
Top Companies Hiring
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Common Roles
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In-Demand Skills
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