What is Retrieval-Augmented Generation (RAG) and how common is it in AI job postings?

Retrieval-Augmented Generation (RAG) is a skill in the "LLM & Foundation Models" category. It currently appears in 439 active AI roles across 91 companies in our index.

Which companies are hiring for Retrieval-Augmented Generation (RAG)?

The top employers with active AI roles mentioning Retrieval-Augmented Generation (RAG) are: Amazon (44), Google (37), JPMorgan Chase (28), NVIDIA (19), Apple (18).

Is demand for Retrieval-Augmented Generation (RAG) growing?

Over the last 12 weeks, 316 new AI postings mentioned Retrieval-Augmented Generation (RAG). Demand is rising — up 200% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Retrieval-Augmented Generation (RAG) used?

Roles requiring Retrieval-Augmented Generation (RAG) are concentrated in: agents (86%), application (5%), serving infrastructure (4%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Retrieval-Augmented Generation (RAG)?

Job postings that mention Retrieval-Augmented Generation (RAG) most often also require: Large Language Models (LLMs), Agentic Systems, Python, Machine Learning, Generative AI.

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Retrieval-Augmented Generation (RAG)

439 active AI roles across 91 companies mention Retrieval-Augmented Generation (RAG). Category: LLM & Foundation Models.

Demand trend

New AI postings mentioning Retrieval-Augmented Generation (RAG) per week — 316 total over 12 weeks.

Function

All Engineering · 395 Product · 24 Research · 20

Status

All Active only

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11 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Walmart	(USA) Staff, Data Scientist	Retail	9	L4
Target	Lead Engineer- Advanced AI	Retail	8	L4
Target	Lead Data Scientist- AML	Retail	8	L4
Walmart	Distinguished, Data Scientist	Retail	8	L2
Walmart	(USA) Staff, Data Scientist	Retail	8	L4
Walmart	Director, Data Science	Retail	8	L4
Walmart	Distinguished, Data Scientist	Retail	8	L4
Target	Sr Engineer -Advanced AI	Retail	7	L4
Walmart	Principal, Software Engineer - GenAi	Retail	7	L6
Walmart	Staff, Software Engineer - GenAi	Retail	7	L4
Walmart	(USA) Senior Manager, Data Engineering	Retail	7	L4

Frequently asked questions

What is Retrieval-Augmented Generation (RAG) and how common is it in AI job postings?
Retrieval-Augmented Generation (RAG) is a skill in the "LLM & Foundation Models" category. It currently appears in 439 active AI roles across 91 companies in our index.
Which companies are hiring for Retrieval-Augmented Generation (RAG)?
The top employers with active AI roles mentioning Retrieval-Augmented Generation (RAG) are: Amazon (44), Google (37), JPMorgan Chase (28), NVIDIA (19), Apple (18).
Is demand for Retrieval-Augmented Generation (RAG) growing?
Over the last 12 weeks, 316 new AI postings mentioned Retrieval-Augmented Generation (RAG). Demand is rising — up 200% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Retrieval-Augmented Generation (RAG) used?
Roles requiring Retrieval-Augmented Generation (RAG) are concentrated in: agents (86%), application (5%), serving infrastructure (4%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

Retrieval-Augmented Generation (RAG)

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Retrieval-Augmented Generation (RAG)

Top employers

Often paired with

Frequently asked questions