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 · 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
Okta	Software Engineer - Customer Experience	Enterprise	7	Agent orchestration · LLM observability
Snowflake	Senior Solution Engineer - Acquisition	Data AI	7	Agent orchestration · Vector DB · LLM observability
Google	Senior Software Engineer, Google Cloud, Generative AI, Blackbelt	Big Tech	7	Agent orchestration · Agent research · Vector DB · Fine-tuning · Model serving · LLM observability · Guardrails
Amazon	Technical Program Manager III, AWS Prototyping and AI Customer Engineering (PACE)	Big Tech	7	Agent orchestration · LLM observability · Evals · Guardrails
Expedia	Software Development Engineer II ( AI)	Hospitality	7	Agent orchestration · Fine-tuning · Model serving · LLM observability
Bank of America	Software Engineer III- Gen AI Inferencing	Banking	7	Inference infra · Model serving · Fine-tuning
Bank of America	Software Engineer III-Gen AI Inferencing	Banking	7	Agent orchestration · Fine-tuning · Inference infra · Model serving
Zendesk	Senior ML Scientist - AI Copilot	Enterprise	7	Fine-tuning
Johnson & Johnson	Principal Data Engineer – Safety Analytics (Global Medical Safety)	Pharma	7
Adobe	Principal Architect - AI enabled Customer Experience Platforms	Enterprise	7	Agent orchestration · LLM observability · Guardrails
Workday	Product Advisor, Deployment Innovation	Enterprise	7	Agent orchestration · Tool use · LLM observability
Workday	Product Advisor, Deployment Innovation	Enterprise	7	Agent orchestration · Tool use · LLM observability
NVIDIA	Senior Staff Software Engineer - AI Agent Platform	Semiconductors	7	Agent orchestration · Inference infra · Model serving · Vector DB
Merck	AI Developer	Pharma	7	LLM observability · Vector DB · Fine-tuning · Model serving
Disney	Senior Machine Learning Engineer - News	Media	7	Recommender systems · Inference infra · Model serving
Autodesk	Principal Knowledge Acquisition Analyst	Enterprise	7	Agent orchestration · Vector DB · LLM observability
Salesforce	Senior / Lead Software Developer \| Data Engineer Expert	Enterprise	7	Agent orchestration · Vector DB · Inference infra
ServiceTitan	Lead Data Scientist	Enterprise	7	Agent orchestration · Vector DB · Fine-tuning · Forecasting
Zendesk	Senior Machine Learning Engineer	Enterprise	7	Agent orchestration · Evals · LLM observability · Model serving
Airbyte	Director, Data & Analytics	Data AI	7	Agent orchestration · LLM observability
Microsoft	Senior Data Scientist - Consumer Marketing	Big Tech	7	Recommender systems · Guardrails · Synthetic data
Microsoft	Principal Software Engineer	Big Tech	7	Copilot · Model serving · Inference infra
Abnormal AI	Senior Engineer, Enterprise Platforms	Vertical AI	7	Agent orchestration · Tool use · Guardrails · LLM observability
JPMorgan Chase	Lead Software Engineer - Java/Python/AIML	Banking	7	Agent orchestration · Vector DB · Fine-tuning · Model serving
Amazon	Software Dev Engineer II, Conversational Ad Experiences	Big Tech	7	Agent orchestration · LLM observability · Model serving · Inference infra · Vector DB
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	Business Intelligence Engineer, Supply Chain Data Science	Big Tech	7	Agent orchestration · Vector DB
NVIDIA	Senior Product Manager, Local AI and Agents for Enterprise	Semiconductors	7	Agent orchestration · Inference infra · Model serving · Fine-tuning · Evals
Expedia	Software Development Engineer III (AI)	Hospitality	7	Agent orchestration · LLM observability · Model serving · Fine-tuning
Expedia	Software Development Engineer II, AI Platform – Finance Products	Hospitality	7	Agent orchestration · Fine-tuning · 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.