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
F5	Senior Software Engineer – AI Security	Enterprise	7	Agent orchestration · Guardrails · LLM observability · Code gen
Smartsheet	Senior AI/ML Ops Engineer (Hybrid in Bangalore)	Seattle	7	Model serving · Inference infra · Vector DB · Fine-tuning
Outreach	Engineering Manager, Intelligence Tooling and Enablement	Enterprise	7	Agent orchestration · LLM observability · Model serving
Smartsheet	Senior AI/ML Ops Engineer-II (Hybrid in Bangalore)	Seattle	7	Model serving · Inference infra · Vector DB · Fine-tuning · LLM observability
Walmart	(IND) Senior Solution Consultant-1	Retail	7	LLM observability · Agent orchestration · Model serving
DocuSign	Applied AI Software Engineer	Enterprise	7	Agent orchestration · LLM observability · Model serving
Anthropic	Applied AI Architect, State and Local Government	AI Frontier	7	Agent orchestration · Evals · Model serving · LLM observability
Calendly	Staff Product Manager, New Products	Enterprise	7	Agent orchestration · Agent research · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Multimodal
Premera Blue Cross	Solution Architect/AI Engineer IV	Insurance	7	Model serving · Inference infra · Guardrails · LLM observability · Fine-tuning
Axon	Sr. Software Engineer I, Applied AI	Enterprise	7	Agent orchestration · LLM observability · Model serving · Tool use
Asana	Senior Software Engineer, AI Retrieval	Enterprise	7	Vector DB · Search & ranking · Model serving · Inference infra
Gusto	Principal Product Designer, CoreX AI	Fintech	7	Agent orchestration · Guardrails · LLM observability · Model serving
Cohere	Solutions Architect	AI Frontier	7	LLM observability
LangChain	Deployed Engineer (Sydney)	Data AI	7	Agent orchestration · LLM observability
LangChain	Deployed Engineer (Amsterdam)	Data AI	7	Agent orchestration · Tool use · LLM observability · Guardrails
Uber	AI Knowledge Architect	Consumer	7	Agent orchestration · Vector DB · LLM observability
Amazon	Senior AI Solution Architect	Big Tech	7	Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · Multimodal
Amazon	Senior AI Solution Architect	Big Tech	7	Agent orchestration · Tool use · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · Multimodal
Amazon	Senior AI Solution Architect	Big Tech	7	Agent orchestration · Tool use · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · Multimodal
Amazon	Sr. AI Specialist SA	Big Tech	7	Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · LLM observability
GE Healthcare	Senior AI Engineer – Intelligent Automation	Healthcare	7	Agent orchestration · Tool use · Evals · Guardrails · Model serving · LLM observability
Honeywell	Lead Data Engineer	Industrial	7	Vector DB · Agent orchestration
JPMorgan Chase	Home Lending Data & Analytics – Applied AI/ML Engineer - VP	Banking	7	Agent orchestration · Fine-tuning · Model serving
Harvey	Engineering Director, New Verticals	AI Frontier	7	Agent orchestration · Evals · LLM observability
Amazon	Sr AI Solution Architect, Data & AI Specialist Solutions Architect team	Big Tech	7	Agent orchestration · Vector DB · Fine-tuning · Model serving · LLM observability
Amazon	Sr AI Solution Architect, Data & AI Specialist Solutions Architect team	Big Tech	7	Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · Multimodal
Amazon	Principal AI Solution Architect, Data & AI Specialist Solutions Architect team	Big Tech	7	Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · Multimodal
Deloitte	Data Scientist - National Federal Tax Services	Consulting	7	Agent orchestration · Fine-tuning · LLM observability · Model serving
GE Healthcare	Stagiaire ingénieur(e) - Révolutionner le "Design-to-Code" : Automatisation et Agents AI dans un contexte médical critique (H/F)	Healthcare	7	Agent orchestration · Code gen · Vector DB · Fine-tuning
Snowflake	Senior AI/ML Architect, Applied Field Engineering	Data AI	7	Fine-tuning · Agent orchestration

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.