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
Autodesk	Senior QA Engineer, AI/ML	Enterprise	7	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Model serving
CrowdStrike	GenAI Engineering Intern - SkillBridge (Remote)	Enterprise	7	Agent orchestration · Fine-tuning
Outreach	Principal Product Manager, Platform - Prague, Czechia	Enterprise	7	Agent orchestration
MetLife	Data Scientist - Pet Insurance	Insurance	7	Agent orchestration · LLM observability · Fine-tuning · Model serving
OpenAI	AI Success Engineer, Government	AI Frontier	7	Agent orchestration · Fine-tuning
Okta	Senior Software Engineer, Applied AI (Fullstack)	Enterprise	7	Agent orchestration · LLM observability · Model serving · Inference infra
Toast	Staff Software Engineer, AI & Strategy	Enterprise	7	Agent orchestration · Fine-tuning · Model serving
ZoomInfo	Principal Software Engineer	Enterprise	7	Agent orchestration · LLM observability · Model serving
OpenAI	Product Engineer, GTM Innovation	AI Frontier	7	LLM observability · Vector DB · Fine-tuning
OpenAI	Full Stack Software Engineer, GTM Innovation	AI Frontier	7	LLM observability · Fine-tuning · Model serving
OpenAI	Backend Software Engineer, GTM Innovation	AI Frontier	7	LLM observability · Fine-tuning · Model serving
Celonis	Associate Applied AI Engineer (France) - Orbit Program	Data AI	7	Agent orchestration · LLM observability
Salesforce	Agentforce & Data 360 Solutions Engineer - Philippines	Enterprise	7	Agent orchestration · LLM observability · Model serving
Amazon	Sr. Prompt Engineer, TSE	Big Tech	7	LLM observability · Fine-tuning · Model serving
Walmart	(USA) Senior Manager, Data Engineering	Retail	7	Agent orchestration · Vector DB · LLM observability
Microsoft	Member of Technical Staff - Principal Backend Engineer, Copilot Memory and Personalization	Big Tech	7	LLM observability · Vector DB · Recommender systems · Search & ranking
Sentry	Senior Technical Support Engineer	Enterprise	7	Agent orchestration · LLM observability
Robinhood	Senior Software Engineer, Agentic	Fintech	7	Agent orchestration · LLM observability · Model serving
OpenAI	AI Deployment Manager - NYC	AI Frontier	7	Fine-tuning · Evals · Agent orchestration
OpenAI	AI Deployment Manager - US Remote	AI Frontier	7	Agent orchestration · Fine-tuning · Evals
Amazon	SDE III, Amazon Quick Suite	Big Tech	7	Agent orchestration · Model serving
Handshake	Software Engineer, Consumer Experience	Enterprise	7	Agent orchestration · Tool use
OpenAI	AI Success Engineer	AI Frontier	7	Fine-tuning · Model serving
Harvey	Staff Product Manager, New Verticals	AI Frontier	7	Agent orchestration · Tool use
Datadog	Senior Software Engineer (AI)	Enterprise	7	Model serving · Inference infra · Guardrails · Evals · Agent orchestration · Tool use · LLM observability
Amazon	Research Engineer, AWS Agentic AI	Big Tech	7	Agent orchestration · Evals · Model serving · Inference infra
GEICO	Staff Engineer - Applied AI (Java)	Insurance	7	Agent orchestration · LLM observability
Walmart	Principal, Software Engineer	Retail	7	Agent orchestration · Vector DB · Model serving · LLM observability
Walmart	Backend Chatbot Software Engineers	Retail	7	Agent orchestration · Vector DB · LLM observability · Model serving
Uber	Sr. ML Engineer	Consumer	7	Recommender systems · Search & ranking · LLM observability · Evals

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.