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
Salesforce	Principal Software Engineer, Data Platform	Enterprise	7	Agent orchestration · LLM observability · Model serving · Inference infra
Boeing	Senior Data Scientist	Aerospace	7	Model serving · Inference infra · Agent orchestration · Fine-tuning · Vector DB
Autodesk	Senior Full-Stack Engineer (3D)	Enterprise	7	Agent orchestration · Tool use · Vector DB · LLM observability · Model serving · Inference infra
Snyk	AI Solutions Engineer (Local to Boston/SF Only)	Enterprise	7	Agent orchestration · Vector DB · LLM observability
Walmart	(USA) Staff, Software Engineer	Retail	7	Agent orchestration · LLM observability · Tool use · Evals
Deloitte	Data Analytics Manager- Data Lake	Consulting	7	Vector DB
Deloitte	Senior GenAI Engineer	Consulting	7	Agent orchestration · Guardrails · LLM observability
Deloitte	Data Analytics Consultant - Data Lake	Consulting	7	Vector DB · Agent orchestration
Deloitte	GenAI Engineer	Consulting	7	Agent orchestration · Guardrails · Model serving
Deloitte	Data Analytics Senior Consultant - Data Lake	Consulting	7	Vector DB
Salesforce	Senior Software Engineer– Salesforce Full Stack Developer	Enterprise	7	Agent orchestration · Tool use · LLM observability
Autodesk	Senior Application Security Developer , AI Security	Enterprise	7	Agent orchestration · Tool use · Guardrails · LLM observability · Fine-tuning · Model serving
BCG	BCG Platinion \| Senior IT Architect - AI Platforms	Consulting	7	Agent orchestration · LLM observability
Salesforce	Lead Data Engineer, AI	Enterprise	7	Vector DB · Agent orchestration · Model serving
Adobe	Principal Product Manager, Search & GenAI	Enterprise	7	Recommender systems · Search & ranking · Agent orchestration · Multimodal
JPMorgan Chase	Lead Software Engineer - AI	Banking	7	Agent orchestration · Guardrails · LLM observability
Gusto	Legal AI Engineer (Contractor)	Fintech	7	Agent orchestration · LLM observability · Guardrails
Cockroach Labs	Staff Product Manager (Data Onboarding)	Data AI	7	Agent orchestration · Fine-tuning · LLM observability · Evals
Betterment	Sr. CX Programs & Automation Manager	Fintech	7	Agent orchestration · Fine-tuning · Evals · LLM observability · Vector DB
Scale AI	Product Manager, Public Sector GenAI Test & Evaluation (T&E)	Data AI	7	Evals · LLM observability · Agent orchestration
Brex	Software Engineer, Forward Deployed Agent Builder	Fintech	7	Agent orchestration · Tool use · LLM observability · Evals
Google	Staff UX Front-End Engineer, YouTube	Big Tech	7	Agent orchestration · LLM observability · Fine-tuning · Model serving · Multimodal
Toast	Software Engineer II, GTM AI Agents	Enterprise	7	Agent orchestration · LLM observability
Target	Principal Engineer – Store Optimization	Retail	7	Agent orchestration · Evals · Guardrails · LLM observability · Vector DB · Model serving
Workday	Principal Technical Delivery Consultant - AI Practice	Enterprise	7	Agent orchestration · LLM observability · Guardrails
Intel	AI Tools Development Intern	Semiconductors	7	Agent orchestration · Tool use
Visa	Senior Data Scientist	Fintech	7	Vector DB · Evals · LLM observability
Salesforce	Employee Success Lead Data Engineer	Enterprise	7	Vector DB · LLM observability · Agent orchestration · Model serving · Fine-tuning
JPMorgan Chase	Compliance - CCOR Risk Management Director - Executive Director	Banking	7	Agent orchestration · Guardrails · LLM observability · Model serving · Evals
JPMorgan Chase	Software Engineer III - Python Backend, AI/ML Platforms on AWS	Banking	7	Agent orchestration · Model serving · Inference infra · LLM observability

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.