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.

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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 · 2697 Product · 301 Research · 87

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
Celonis	Senior Value Engineer -Consumer Goods	Data AI	7	Agent orchestration · Tool use · Guardrails · LLM observability
Lyft	Machine Learning Engineer, Lyft Business	Consumer	7	Agent orchestration · Fine-tuning · Model serving · Recommender systems
Google	Solutions Architect, Google Forge, Google Cloud	Big Tech	7	Fine-tuning · Model serving
Celonis	Applied Value Engineer	Data AI	7	Agent orchestration · Guardrails · LLM observability
Amazon	AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail	Big Tech	7	LLM observability · Fine-tuning · Model serving · Inference infra
Expedia	Senior Manager, Enterprise AI Platforms	Hospitality	7	Agent orchestration · Model serving · Inference infra · Guardrails
Zendesk	Staff Software Engineer	Enterprise	7	Agent orchestration · LLM observability
Bank of America	Consumer Behavior Modeler II	Banking	7	Agent orchestration · Fine-tuning · Evals · Guardrails · Model serving
Visa	Sr. SW Engineer - Python, ReactJS, Langraph/Langchain	Fintech	7	Agent orchestration · Fine-tuning
Workday	Principal/ Senior Software Development Engineer (Full Stack)	Enterprise	7	Agent orchestration · Model serving · LLM observability
Target	Sr Engineer - Cybersecurity AI Activation and Engineering	Retail	7	Agent orchestration · Tool use · LLM observability · Fine-tuning · Model serving
Zillow	Senior Machine Learning Engineer	Consumer	7	Agent orchestration · Tool use · Vector DB · Model serving
Bank of America	Consumer Behavior Modeler II	Banking	7	Agent orchestration · Fine-tuning · Evals · Guardrails · Model serving
Salesforce	Employee Success Lead Data Engineer	Enterprise	7	Vector DB · LLM observability · Agent orchestration · Model serving · Fine-tuning
NVIDIA	Senior Software Engineer— Agentic AI Workflow Applications	Semiconductors	7	Agent orchestration · Tool use
ServiceNow	Senior Machine Learning Engineer, Search Platform - Moveworks	Enterprise	7	Search & ranking · Recommender systems · Agent orchestration · LLM observability · Fine-tuning · Model serving · Inference infra
JPMorgan Chase	Applied AI ML Engineer Associate	Banking	7	Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving · Recommender systems
Reddit	Senior Staff Software Engineer, Indexing & Retrieval Platform	Consumer	7	Model serving · Inference infra · Vector DB
Honeywell	Advanced Cyber Sec Archt/Engr	Industrial	7	Agent orchestration · Tool use · Evals · Guardrails · LLM observability
Honeywell	Advanced Data Scientist	Industrial	7	LLM observability · Fine-tuning · Model serving · Vector DB
Amazon	Senior AI Innovation & GTM Programs Lead, Applied AI Solutions, Applied AI Solutions	Big Tech	7	Agent orchestration · LLM observability
Target	Lead Engineer - Cybersecurity AI	Retail	7	Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals
AT&T	Principal System Engineer - Laravel/PHP Developer (AI Development)	Telecom	7	Agent orchestration · LLM observability · Guardrails · Model serving
Autodesk	AI Developer	Enterprise	7	Agent orchestration · Fine-tuning · Evals · LLM observability
ServiceTitan	Principal, Security Architect	Enterprise	7	Guardrails · Agent orchestration · LLM observability
Visa	Software Engineer - Sr.Consultant Level - Python, React, GenAI Architecture	Fintech	7	Agent orchestration · Vector DB · LLM observability · Guardrails
Walmart	Senior, Data Scientist	Retail	7	Agent orchestration · Fine-tuning · LLM observability
Deloitte	AI Engineer Senior Consultant	Consulting	7	Vector DB · Inference infra · Model serving
Metropolis	Senior AI Engineer	Vertical AI	7	Agent orchestration · Tool use · LLM observability · Model serving
Metropolis	Senior AI Engineer	Vertical AI	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.