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

Sort

AI score Recently posted Company A–Z

3440 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Amazon	Senior Solutions Architect, GovTech ISVs	Big Tech	7	Agent orchestration · Guardrails · Evals · Model serving
Visa	Sr. SW Engineer (Full-stack Developer, Java, Angular / React & GenAI Engineer)	Fintech	7	Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Vector DB · LLM observability
Walmart	Software Engineer III	Retail	7	Agent orchestration · Tool use · Vector DB · Fine-tuning · LLM observability · Guardrails
Allstate	Senior AI Software Engineer	Insurance	7	Fine-tuning · Vector DB · Model serving
Walmart	Principal, Data Engineer	Retail	7	Agent orchestration · LLM observability · Vector DB · Model serving
Expedia	Machine Learning Scientist II	Hospitality	7	Agent orchestration · Fine-tuning · Model serving · Recommender systems · Search & ranking
Disney	Senior Principal Machine Learning Engineer, Ad Platforms	Media	7	Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · LLM observability
JPMorgan Chase	Data Scientist Lead	Banking	7	Agent orchestration · Agent research · LLM observability · Vector DB · Fine-tuning · Model serving
Google	Forward Deployed Engineering Manager, Generative AI, Google Cloud	Big Tech	7	Agent orchestration · Tool use
JPMorgan Chase	Sr Lead Architect, AI	Banking	7	Agent orchestration · Vector DB · LLM observability · Guardrails
JPMorgan Chase	Lead Software Engineer - Cloud/Python/AI Engineer	Banking	7	Agent orchestration · LLM observability · Guardrails · Inference infra · Model serving
JPMorgan Chase	Software Engineer III - AI/ML, Java / Python	Banking	7	Agent orchestration · LLM observability · Fine-tuning · Model serving
JPMorgan Chase	Senior Product Associate - Employee Platforms (AI Tooling, RAG, LLM)	Banking	7	Agent orchestration · Tool use · LLM observability · Evals
ClickHouse	Solutions Architect - LangFuse EMEA	Data AI	7	LLM observability · Evals · Model serving
ClickHouse	Solutions Architect - LangFuse APJ	Data AI	7	LLM observability · Evals · Model serving
JPMorgan Chase	Lead Software Engineer - Data Engineer	Banking	7	Agent orchestration · Agent research · Vector DB
Microsoft	Forward Deployed Engineer	Big Tech	7	Agent orchestration · Model serving · Inference infra · LLM observability
Amazon	Software Development Engineer, DC Assistant Development	Big Tech	7	Agent orchestration · Tool use · LLM observability · Model serving
Amazon	Worldwide Partner Solutions Architect, Data and AI GTM	Big Tech	7	Agent orchestration · LLM observability
Caterpillar	Lead Data Scientist	Industrial	7	Agent orchestration · Multimodal · Evals
Caterpillar	Lead Software Engineer, Gen AI	Industrial	7	Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability
CVS Health	Senior Machine Learning Engineer - Generative AI & Full-Stack Applications	Healthcare	7	Evals · Guardrails · LLM observability · Model serving · Agent orchestration
Salesforce	Lead Backend Software Engineer	Enterprise	7	Agent orchestration · Tool use · LLM observability
Visa	Data Scientist, (AI/ML) – Visa Consulting and Analytics	Fintech	7	Agent orchestration · Tool use · Vector DB
Salesforce	Software Engineering MTS (Full Stack) - AI Generalist (Demo Tools & Platform Engineering)	Enterprise	7	Agent orchestration · Tool use · LLM observability · Model serving
Zendesk	Director, Product Management	Enterprise	7	Search & ranking · LLM observability
Boeing	Data Scientist (Data Science)	Aerospace	7	Fine-tuning · Evals · Vector DB · Model serving
Boeing	Senior Data Scientist	Aerospace	7	Fine-tuning · Evals · Guardrails · Multimodal · LLM observability · Vector DB · Model serving
Verizon	Spec-Product Dev/Mgt	Telecom	7	Agent orchestration · Fine-tuning · Evals · LLM observability · Guardrails
Merck	Senior Manager, GSF GenAI & Agentic AI Tech Lead	Pharma	7	Agent orchestration · Tool use · LLM observability · Model serving

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.