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
Amazon	Senior AI Solution Architect	Big Tech	7	Agent orchestration · Tool use · Vector DB · Model serving
Chewy	Staff Software Engineer	Retail	7	LLM observability · Vector DB · Model serving · Search & ranking
Roblox	Knowledge Manager	Consumer	7	Evals · LLM observability
MongoDB	Head of Post Sales Technology	Enterprise	7	Agent orchestration · LLM observability
Stripe	Staff Engineer, Machine Learning Platform	Fintech	7	Model serving · Inference infra · LLM observability · Agent orchestration · Tool use
Pinterest	Sr. Staff GenAI Content & Conversational Designer, Monetization	Consumer	7	Agent orchestration · Tool use · LLM observability · Fine-tuning · Model serving
Celonis	Senior Value Engineer - Public Sector	Data AI	7	Agent orchestration · Guardrails · LLM observability
Airbnb	Lead Advanced Analytics, Digital & AI Products	Consumer	7	Agent orchestration · LLM observability · Evals
Twilio	Senior Engineer, Offensive Security	Enterprise	7	Agent orchestration · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving
Deloitte	Engineering Foundry - Software Engineering - Full-stack Developer – Senior Consultant	Consulting	7	Agent orchestration · Tool use
Bank of America	Sr. Information Security Architect – AI & Cloud Security	Banking	7	Vector DB · Agent orchestration
Uber	Sr Software Engineer (Backend) - GenAI	Consumer	7	Agent orchestration · LLM observability · Model serving
Writer	Solutions architect (East)	AI Frontier	7	Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving
Celonis	Senior Management & Technology Consultant - AI & Process Analytics	Data AI	7	Agent orchestration
Celonis	Senior Applied AI Solutions Consultant	Data AI	7	Agent orchestration
Celonis	Senior Applied AI Solutions Architect - Process Intelligence	Data AI	7	Agent orchestration
Snowflake	Developer Advocate - Cortex Code Enablement	Data AI	7	Agent orchestration · Tool use · LLM observability · Code gen
Target	Lead Engineer - Target India-2	Retail	7	LLM observability · Agent orchestration · Guardrails · Model serving
Celonis	Senior Value Engineer - Energy Industry	Data AI	7	Agent orchestration · Guardrails · LLM observability · Tool use
Cresta	AI Evaluations Lead	Vertical AI	7	Evals · LLM observability · Agent orchestration · Guardrails · Multimodal
Elastic	Principal Software Engineer - Vector Search - Elasticsearch	Enterprise	7	Vector DB · Search & ranking · Model serving · Inference infra
GitLab	Staff Backend (Python) Engineer, AI Engineering:Duo Chat	Enterprise	7	Agent orchestration · LLM observability · Model serving
Elastic	Principal Software Engineer - Vector Search - Elasticsearch	Enterprise	7	Vector DB · Search & ranking · Model serving · Inference infra
Elastic	Senior Software Engineer - Search Relevance - Elasticsearch	Enterprise	7	Search & ranking · Vector DB · Inference infra · Model serving
Okta	Principal Applied AI Marketing Engineer	Enterprise	7	Agent orchestration · Tool use · Fine-tuning · LLM observability
JPMorgan Chase	AIOps Lead Software Engineer	Banking	7	Agent orchestration · Vector DB · Model serving · LLM observability
Vercel	Content Engineer	Enterprise	7	Agent orchestration · LLM observability · Fine-tuning
Oura	Staff Software Engineer, AI Operations	Consumer	7	Agent orchestration · Tool use · LLM observability · Evals · Model serving
Snowflake	Solutions Architect	Data AI	7	Fine-tuning · Model serving
Amazon	Senior AI Solution Architect	Big Tech	7	Agent orchestration · Tool use · Vector DB · Fine-tuning · Inference infra · Model serving · Multimodal

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.