What is RAG Pipelines and how common is it in AI job postings?

RAG Pipelines is a skill in the "Retrieval & Search" category. It currently appears in 189 active AI roles across 59 companies in our index.

Which companies are hiring for RAG Pipelines?

The top employers with active AI roles mentioning RAG Pipelines are: Amazon (19), Apple (15), NVIDIA (11), Google (10), Adobe (10).

Is demand for RAG Pipelines growing?

Over the last 13 weeks, 142 new AI postings mentioned RAG Pipelines. Demand is rising — up 673% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is RAG Pipelines used?

Roles requiring RAG Pipelines are concentrated in: agents (86%), post-training (4%), application (3%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with RAG Pipelines?

Job postings that mention RAG Pipelines most often also require: Large Language Models (LLMs), Agentic Systems, Python, Machine Learning, Vector Databases.

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RAG Pipelines

189 active AI roles across 59 companies mention RAG Pipelines. Category: Retrieval & Search.

Demand trend

New AI postings mentioning RAG Pipelines per week — 142 total over 13 weeks.

Sector

All Big Tech · 47 Enterprise · 46 Data AI · 20 Semiconductors · 14 Retail · 8 Fintech · 8 Industrial · 7 Consumer · 7 AI Frontier · 6 Vertical AI · 5 Insurance · 5 Robotics · 4 Banking · 4 Telecom · 2 Healthcare · 2 Consulting · 2 Media · 1 Hospitality · 1

Function

All Engineering · 174 Research · 10 Product · 5

Status

All Active only

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13 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Software Engineer - Agentic AI	Semiconductors	9	L4
NVIDIA	Senior AI Safety Red Teamer	Semiconductors	9	L5
NVIDIA	Lead Principal Engineer, Enterprise Agentic AI Platform	Semiconductors	9	L4
NVIDIA	Senior Deep Learning Engineer - Model Evaluation & AI Systems	Semiconductors	9	L5
NVIDIA	Distinguished Engineer - Wireless Infrastructure	Semiconductors	8	L4
NVIDIA	Senior System Security Architect	Semiconductors	8	L4
NVIDIA	Applied AI Engineer - VLSI Design	Semiconductors	8	L4
Intel	Senior GenAI Software Solutions Engineer	Semiconductors	8	L4
NVIDIA	Senior Data and AI Solutions Engineer	Semiconductors	8	L4
Intel	Senior GenAI Software Architect	Semiconductors	8	L4
Intel	GenAI Software Architect	Semiconductors	8	L4
NVIDIA	Senior Product Architect, Storage	Semiconductors	8	L4
NVIDIA	Senior Staff Software Engineer - AI Agent Platform	Semiconductors	7	L4

Frequently asked questions

What is RAG Pipelines and how common is it in AI job postings?
RAG Pipelines is a skill in the "Retrieval & Search" category. It currently appears in 189 active AI roles across 59 companies in our index.
Which companies are hiring for RAG Pipelines?
The top employers with active AI roles mentioning RAG Pipelines are: Amazon (19), Apple (15), NVIDIA (11), Google (10), Adobe (10).
Is demand for RAG Pipelines growing?
Over the last 13 weeks, 142 new AI postings mentioned RAG Pipelines. Demand is rising — up 673% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is RAG Pipelines used?
Roles requiring RAG Pipelines are concentrated in: agents (86%), post-training (4%), application (3%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with RAG Pipelines?
Job postings that mention RAG Pipelines most often also require: Large Language Models (LLMs), Agentic Systems, Python, Machine Learning, Vector Databases.

RAG Pipelines

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

RAG Pipelines

Top employers

Often paired with

Frequently asked questions