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.

← All skills

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

Sort

AI score Recently posted Company A–Z

FilteredsectorFintech×

8 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Visa	Staff Engineer GenAI Developer	Fintech	8	L4
Visa	Lead AI Engineer (Business Intelligence)	Fintech	8	L4
Visa	Data Scientist - Sr. Consultant (MLOPs, Predictive Fraud intelligence)	Fintech	7	L0
Block	Senior Data Scientist, AI & Model Risk	Fintech	7	L5
Block	Senior Data Scientist, AI & Model Risk	Fintech	7	L5
Mercury	Senior Model Risk Manager - AI/ML	Fintech	7	L4
Visa	Software Engineer Sr. Consultant , Fullstack/GenAI Engineering	Fintech	7	L4
Visa	Senior Cybersecurity AI Engineer	Fintech	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