Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: Amazon (167 roles), JPMorgan Chase (145 roles), Adobe (78 roles), Google (73 roles), Capital One (69 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, 2,041 active AI roles across 203 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (5%) stages. Most common sectors: Enterprise, Big Tech, Banking.

Top hiring:

Function

All Engineering · 3013 Product · 333 Research · 94

Status

All Active only

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AI score Recently posted Company A–Z

3440 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Merck	Associate Director, Automation Lead	Pharma	7	Vector DB · LLM observability · Model serving
Merck	Specialist, Automation Architect	Pharma	7	LLM observability
Merck	Senior Specialist, Automation Architect	Pharma	7	LLM observability · Vector DB
AT&T	Principal AI-Native Software Engineer	Telecom	7	Agent orchestration · LLM observability · Vector DB · Agent research
Caterpillar	Agentic AI / AI Ops Engineer – Platform Engineering	Industrial	7	Agent orchestration · Tool use · LLM observability · Inference infra · Model serving
Caterpillar	Principal Digital Architect	Industrial	7	Agent orchestration · Model serving · Inference infra
CrowdStrike	Software Engineer GenAI (ROU, Hybrid)	Enterprise	7	Agent orchestration · Model serving · Inference infra · LLM observability
Deloitte	Oracle Gen AI Manager	Consulting	7	Agent orchestration · LLM observability · Model serving
Deloitte	Oracle Gen AI Manager	Consulting	7	Agent orchestration · Model serving · LLM observability
Cohere	Senior Search Applications Performance Engineer	AI Frontier	7	Model serving · Inference infra · Search & ranking · Agent orchestration · Evals
John Deere	Senior AI Engineer - Indaiatuba/SP	Industrial	7	Agent orchestration · LLM observability · Model serving · Fine-tuning
JPMorgan Chase	Asset Management, Data Scientist, Vice President, London/Glasgow	Banking	7	Agent orchestration · LLM observability · Model serving
Monday.com	BI and AI Solution Engineer	Enterprise	7	Agent orchestration · Vector DB · Evals
GitLab	AI Engineer	Enterprise	7	Agent orchestration · Tool use · Guardrails · Fine-tuning · Model serving
Apple	Senior Engineering Manager - Applied Machine Learning - AiDP	Big Tech	7	Search & ranking · Recommender systems · Vector DB · Inference infra · Model serving
Disney	Sr Product Software Engineer	Media	7	Vector DB · Agent orchestration
Salesforce	Senior Product Manager - Customer Health Platform	Enterprise	7	Agent orchestration · Evals · LLM observability · Vector DB · Model serving
Salesforce	Senior Product Manager	Enterprise	7	Agent orchestration
Visa	Data Scientist, AI/ML – Visa Consulting and Analytics	Fintech	7	Agent orchestration · Tool use · Vector DB
Verizon	Engineer Full Stack - AI	Telecom	7	Fine-tuning · Agent orchestration · LLM observability
Chewy	Machine Learning Engineer II	Retail	7	Vector DB · LLM observability · Model serving
Nordstrom	Senior Engineer 2: AI Agentic Solutions (Hybrid - Seattle, WA)	Retail	7	Agent orchestration · Tool use · Vector DB · LLM observability · Guardrails · Evals · Agent research
Disney	Senior Web Developer	Media	7	Agent orchestration · LLM observability · Tool use
Target	Sr Data Analyst	Retail	7	Agent orchestration
Adobe	Software Development Engineer 4	Enterprise	7	Agent orchestration · Vector DB · LLM observability · Model serving
F5	Software Development Engineer III - Agentic AI	Enterprise	7	Agent orchestration · Tool use · Evals · Guardrails · LLM observability
Eli Lilly	Software Engineer, AI & Clinical Applications	Pharma	7	Agent orchestration · LLM observability · Model serving
Johnson & Johnson	Senior Director, Knowledge Management & Retrieval Strategy	Pharma	7	Agent orchestration · LLM observability
DocuSign	Machine Learning Engineer	Enterprise	7	Agent orchestration · Inference infra · Model serving · LLM observability · Evals
DocuSign	Software Engineer	Enterprise	7	Inference infra · Model serving · 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?
2,041 active AI roles across 203 companies in our index reference RAG as of today.
Which companies are hiring for RAG roles?
The companies with the most active RAG listings are: Amazon (167 roles), JPMorgan Chase (145 roles), Adobe (78 roles), Google (73 roles), Capital One (69 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.