Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: Amazon (170 roles), JPMorgan Chase (150 roles), Adobe (78 roles), Google (78 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 (4%).

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, 2,073 active AI roles across 201 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (4%) 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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3483 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
JPMorgan Chase	Data Scientist Associate - Corporate & Investment Banking	Banking	7	Agent orchestration · LLM observability
Samsara	People Analytics AI Engineer	Enterprise	7
Google	Product Manager, Advertiser and Business Intelligence AI	Big Tech	7	Agent orchestration · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving · Evals
JPMorgan Chase	AI Product Director - Email Domain	Banking	7	Agent orchestration · LLM observability · Fine-tuning
DocuSign	SDET	Enterprise	7	Evals · LLM observability · Guardrails · Agent orchestration · Synthetic data · Model serving
UiPath	Director of Engineering	Enterprise	7	Agent orchestration · Agent research · Evals · LLM observability · Vector DB
Apple	Software Engineer - Regulatory AI & Connected Data	Big Tech	7	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving
Amazon	Solutions Architect, EdTech Strategic ISVs	Big Tech	7	Agent orchestration · Guardrails · LLM observability · Model serving
Amazon	Senior Data Engineer, Amazon Customer Service	Big Tech	7	Agent orchestration · Vector DB · LLM observability · Evals
Caterpillar	Senior Analytics Manager - AI Model & Prompt Engineering	Industrial	7	Agent orchestration · Tool use · Evals · Guardrails · Vector DB · Fine-tuning · Model serving · Multimodal · Agent research
GEICO	Director, Machine Learning Engineering	Insurance	7	Agent orchestration · Model serving · Inference infra · LLM observability
Bank of America	Senior Architect (Hands-On) – Client Servicing & Money Movement	Banking	7	Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving
Pfizer	Director, Applied AI	Pharma	7	Agent orchestration · LLM observability · Guardrails · Model serving
Autodesk	Senior Search Data and Systems Engineer, Organic and Agentic Search	Enterprise	7	Agent orchestration · Evals · LLM observability · Vector DB · Search & ranking
Klaviyo	Senior Software Engineer - Customer Agent	Enterprise	7	Agent orchestration · Tool use · LLM observability
Microsoft	NPI Program Manager	Big Tech	7	Agent orchestration · LLM observability · Tool use · Guardrails
Ford	AI Engineer	Auto	7	Model serving · Fine-tuning
Apple	Data & Analytics Engineer, AiDP	Big Tech	7	Agent orchestration · LLM observability
Databricks	Sr. Manager – Data & AI Support Engineering	Data AI	7	Agent orchestration · Vector DB · LLM observability
JPMorgan Chase	Lead Software Engineer - Databricks/PySpark/AI	Banking	7	Agent orchestration · Tool use · Vector DB
Oracle	Principal Software Engineer – AI-Native Platform Engineering	Enterprise	7	Agent orchestration · LLM observability · Model serving
Block	Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems	Fintech	7	Recommender systems · Search & ranking · Model serving · Inference infra · Agent orchestration · Evals
OpenAI	Manager, Partner AI Deployment Engineering - AWS	AI Frontier	7	Model serving · Inference infra · Evals · Guardrails · LLM observability · Vector DB · Agent orchestration · Tool use
Oracle	Principal Member of Technical Staff	Enterprise	7	LLM observability · Agent orchestration · Model serving
Instacart	Senior Engineering Manager, Search	Consumer	7	Search & ranking · Recommender systems · LLM observability · Model serving · Inference infra · Vector DB
Instacart	Senior Product Manager, Agentic Foundations	Consumer	7	Agent orchestration · LLM observability
Instacart	Senior Product Manager, Agentic Foundations	Consumer	7	Agent orchestration · LLM observability
Databricks	Staff Fullstack Engineer, Agentic Applications	Data AI	7	Agent orchestration · Tool use · Guardrails
Google	Senior Data Engineer, GTM	Big Tech	7	LLM observability · Vector DB · Agent orchestration · Tool use
Databricks	Senior Specialist Solutions Engineer (AI/ML)	Data AI	7	Model serving · Inference infra

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?
2,073 active AI roles across 201 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 (170 roles), JPMorgan Chase (150 roles), Adobe (78 roles), Google (78 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 (4%).
What sectors invest most in RAG?
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.