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
Canva	Senior Data Scientist - Security	Enterprise	5	Evals · LLM observability
Salesforce	Forward Deployed Product Manager	Enterprise	5	Agent orchestration · Tool use
GE Healthcare	Staff Cloud and AI Integration Engineer	Healthcare	5	Agent orchestration · LLM observability · Guardrails · Model serving
Capital One	Lead Software Engineer, Full Stack	Banking	5	LLM observability · Vector DB · Fine-tuning · Model serving
Walmart	Software Engineer III	Retail	5	Agent orchestration · Vector DB · Fine-tuning · Model serving · Code gen
ZoomInfo	Senior Data Engineer	Enterprise	5	LLM observability
Baseten	GTM Engineer	Data AI	5	Agent orchestration · Tool use
Expedia	Principal Product Manager, Product Details Page	Hospitality	5	Recommender systems · LLM observability
Workday	Software Development Engineer (Full Stack)	Enterprise	5	Agent orchestration · Model serving · Vector DB
Eli Lilly	Data Architect, Data Foundry	Pharma	5	Vector DB
JPMorgan Chase	Lead Software Engineer – Full Stack - Java/AWS/Streaming	Banking	5	Vector DB · LLM observability
ABBYY	Staff Software Engineer	Enterprise	5	LLM observability · Model serving · Agent orchestration · Fine-tuning
Smartsheet	Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)	Seattle	5	Agent orchestration · Tool use · LLM observability
Zillow	Principal Product Manager, Mortgage Operating System	Consumer	5	Agent orchestration · Agent research · LLM observability
Visa	Lead Data Engineer	Fintech	5	Vector DB · Agent orchestration
Visa	Solution Architech	Fintech	5	Vector DB · LLM observability
Visa	Sr. Manager	Fintech	5	Agent orchestration · Vector DB · LLM observability
Roblox	Design Engineer	Consumer	5	Agent orchestration · Tool use · Model serving · Code gen
Adobe	Systems Design/Architecture Engineer – Sales & Post‑Sales Platforms	Enterprise	5	Agent orchestration
JPMorgan Chase	VP - Wholesale Portfolio Analytics - Grading	Banking	5	LLM observability
Amazon	Senior Software Development Engineer, SKG Team	Big Tech	5	Agent orchestration · LLM observability · Model serving
Netflix	Security Engineer (L5) - Workforce Security	Big Tech	5	Agent orchestration · Tool use
CVS Health	Senior Software Development Engineer	Healthcare	5	Agent orchestration · LLM observability
GitLab	Legal Engineer	Enterprise	5	Agent orchestration · Tool use · Guardrails · Fine-tuning
JPMorgan Chase	Branch Sales Enablement & AI/ML Analytics Solutions Senior Associate	Banking	5	Agent orchestration · Fine-tuning
Okta	AI Content Operations Intern (Summer 2026)	Enterprise	5	Agent orchestration · Evals · LLM observability
Sentry	Support Engineer	Enterprise	5	LLM observability · Evals
Rubrik	India Benefits & AI Operations Intern	Enterprise	5	LLM observability
Walmart	Software Engineer III	Retail	5	Agent orchestration · Tool use · LLM observability · Model serving
Walmart	Senior Manager, Software Engineering	Retail	5	Vector DB

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.