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

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AI score Recently posted Company A–Z

3440 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Deloitte	Lead Forward Deployed Engineer - Databricks	Consulting	7	Agent orchestration · Evals · Model serving · LLM observability
Deloitte	Lead Forward Deployed Engineer - AWS	Consulting	7	Agent orchestration · Evals · Model serving · Inference infra
Deloitte	Senior Forward Deployed Engineer- AWS	Consulting	7	Agent orchestration · Tool use · Guardrails · Model serving · Vector DB
Deloitte	Forward Deployed Engineer- AWS	Consulting	7	Agent orchestration · Tool use · Guardrails · LLM observability · Model serving
OutSystems	Forward Deployed Engineer ( Nagoya based )	Enterprise	7	Agent orchestration · Guardrails · LLM observability
Deloitte	Senior Snowflake Forward Deployed Engineer - GPS	Consulting	7	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving
Microsoft	Senior Data Engineer	Big Tech	7	LLM observability · Vector DB
Gong	Senior AI Enablement Specialist	Enterprise	7	Agent orchestration · Vector DB · LLM observability
Postman	Manager, IT Enterprise Engineering	Enterprise	7	Agent orchestration · Tool use · LLM observability
Stripe	Staff Product Manager, Support Experience	Fintech	7	Agent orchestration · Evals
Gong	Systems Engineer, CX Automation Team	Enterprise	7	Agent orchestration · Tool use
Legora	Senior Operations Manager - AI & Knowledge	Vertical AI	7	Agent orchestration
Apple	Data Solutions Engineer, Retail Customer Insights	Big Tech	7	LLM observability · Fine-tuning · Vector DB · Evals
Amazon	AI Principal Product Manager - Technical, Amazon Customer Service	Big Tech	7	Agent orchestration · Multi-agent · LLM observability
Adobe	Staff Product Designer, Adobe Stock	Enterprise	7	Agent orchestration · Tool use · LLM observability · Multimodal
Intel	GPU Software Development Engineer	Semiconductors	7	Agent orchestration · Tool use · Fine-tuning
Visa	Analyst, Generative AI (VCA)	Fintech	7	Agent orchestration · Tool use · Vector DB
Verizon	AI Go To Market Leader	Telecom	7	Agent orchestration · LLM observability · Model serving · Guardrails
Capital One	Lead Software Engineer	Banking	7	Vector DB · Model serving · Inference infra
Autodesk	Principal Data Scientist	Enterprise	7	Agent orchestration · Evals · LLM observability · Vector DB
Reddit	Creative Technologist, KarmaLab	Consumer	7	Agent orchestration · LLM observability · Evals · Vector DB · Model serving
OpenAI	Software Engineer, Enterprise AI Platform	AI Frontier	7	Agent orchestration · Tool use · Evals
Replit	Data Scientist, People	Enterprise	7	Agent orchestration · LLM observability · Fine-tuning
Google	Practice Customer Engineer, Applied AI, Google Public Sector	Big Tech	7	Agent orchestration · Agent research · Evals · Audio & speech
Cockroach Labs	Software Engineer (Backend), GTM Tooling	Data AI	7	Agent orchestration · LLM observability · Vector DB · Inference infra · Model serving
JPMorgan Chase	Data Science – (Gen AI Developer) - Analyst	Banking	7	Agent orchestration · Vector DB · LLM observability · Model serving
Outreach	Staff Data Scientist	Enterprise	7	Agent orchestration · Inference infra · Model serving
Amazon	Software Development Engineer, Amazon Quick Suite	Big Tech	7	Multimodal
Northrop Grumman	Software Engineer: Automation/AI - Level 3 (Chandler)	Aerospace	7	Agent orchestration · Tool use · LLM observability · Vector DB · Fine-tuning · Model serving · Inference infra
Amazon	Software Development Engineer, Amazon Quick Suite	Big Tech	7	Multimodal · Vision · Audio & speech

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.