How many AI roles reference RAG right now?

1,958 active AI roles across 201 companies in our index reference RAG as of today. New postings fell 24% in the last 30 days versus the prior 30 (995 → 760).

Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: JPMorgan Chase (149 roles), Amazon (147 roles), Adobe (76 roles), Google (67 roles), Walmart (64 roles).

What AI lifecycle stage does RAG belong to?

RAG primarily belongs to the agents and application stages of the AI lifecycle. In current hiring, RAG roles concentrate at: agents (85%), application (5%).

What sectors invest most in RAG?

The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.

← Tag co-occurrence network

RAG

Retrieval-Augmented Generation: grounding LLM responses by retrieving relevant documents from a vector store or search index before generation, so answers cite real sources instead of hallucinating.

Primary AI lifecycle stage: agents and application.

As of today, 1,958 active AI roles across 201 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (5%) stages. Most common sectors: Enterprise, Big Tech, Banking. New postings fell 24% in the last 30 days versus the prior 30 (995 → 760).

Top hiring:

Function

All Engineering · 2697 Product · 301 Research · 87

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All Active only

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3085 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
JPMorgan Chase	ICB Risk Reporting & Data Associate	Banking	5	LLM observability · Agent orchestration
Chewy	Software Engineer II	Retail	5	Model serving · LLM observability
Adobe	Senior Observability Infrastructure Engineer	Enterprise	5	Agent orchestration · LLM observability · Guardrails · Inference infra
Visa	Software Engineer - Sr. Consultant level-4	Fintech	5	Agent orchestration · Vector DB · Fine-tuning · Model serving
Autodesk	Senior Director, Data Architecture and Engineering	Enterprise	5	Vector DB · LLM observability
ClickUp	Strategic Solutions Engineer, NorthEast	Enterprise	5	Agent orchestration · Agent research · Tool use · LLM observability · Vector DB
Dropbox	Senior Infrastructure Software Engineer, Search Platform	Enterprise	5	Search & ranking · Recommender systems · Vector DB · Multimodal · Inference infra · Model serving
Dropbox	Senior Infrastructure Software Engineer, Search Platform	Enterprise	5	Vector DB · Multimodal · Search & ranking · Recommender systems · Inference infra · Model serving
Google	AI Adoption Customer Engineer	Big Tech	5	Agent orchestration · Vector DB
Legora	Revenue Operations Engineer	Vertical AI	5	Agent orchestration · Tool use
Asana	Staff Software Engineer, AI	Enterprise	5	Vector DB · Search & ranking · Model serving
Amazon	Support Engineer, Alexa	Big Tech	5	LLM observability
Disney	Sr Software Engineer (Project Hire)	Media	5	Guardrails · Agent orchestration
Boeing	Principal Greenfield Software Developer	Aerospace	5	Model serving · Agent orchestration
Google	AI Adoption Customer Engineer, Google Cloud (English, Korean)	Big Tech	5	Agent orchestration · Multi-agent
Harvey	Staff Product Manager, New Products	AI Frontier	5	Agent orchestration · Vector DB
Apple	Forward Deployed Engineer, Maps Client QE Intelligence	Big Tech	5	Agent orchestration · Model serving · LLM observability
Grafana Labs	Staff Software Engineer \| Canada \|Remote	Data AI	5	Agent orchestration · Tool use · LLM observability · Vector DB
MongoDB	Senior Technical Services Engineer	Enterprise	5	Vector DB · LLM observability · Search & ranking
Lila Sciences	Staff Engineer, Data Platform	AI Frontier	5	Vector DB · LLM observability
Amazon	Solutions Architect - NPO, WWPS SA - NPO - Greenfield	Big Tech	5	Agent orchestration · Model serving
Intel	Development Tools Software Engineer	Semiconductors	5	Synthetic data · Agent orchestration · Code gen
Boeing	Mid-Level Business Intelligence Analyst	Aerospace	5	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving
Visa	Staff Software Engineer	Fintech	5	Fine-tuning
Salesforce	Mid-Level Fullstack Engineer, Backend Oriented	Enterprise	5	Agent orchestration · LLM observability
Deloitte	Agentic Delivery Engineer	Consulting	5	Agent orchestration · LLM observability · Fine-tuning · Model serving
Figma	Technical Program Manager, Data Science	Enterprise	5	Evals · Guardrails · LLM observability
JPMorgan Chase	Solution Analyst II	Banking	5	Agent orchestration · Vector DB · Evals · LLM observability
Lattice	GTM Engineer	Enterprise	5	Agent orchestration · Tool use · Vector DB · LLM observability · Model serving
Cockroach Labs	Member of Technical Staff (specialized indexing)	Data AI	5	Vector DB · Search & ranking

Frequently asked questions

What is RAG in AI?
Retrieval-Augmented Generation: grounding LLM responses by retrieving relevant documents from a vector store or search index before generation, so answers cite real sources instead of hallucinating. Primary AI lifecycle stage: agents and application.
How many AI roles reference RAG right now?
1,958 active AI roles across 201 companies in our index reference RAG as of today. New postings fell 24% in the last 30 days versus the prior 30 (995 → 760).
Which companies are hiring for RAG roles?
The companies with the most active RAG listings are: JPMorgan Chase (149 roles), Amazon (147 roles), Adobe (76 roles), Google (67 roles), Walmart (64 roles).
What AI lifecycle stage does RAG belong to?
RAG primarily belongs to the agents and application stages of the AI lifecycle. In current hiring, RAG roles concentrate at: agents (85%), application (5%).
What sectors invest most in RAG?
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.