How many AI roles reference RAG right now?

2,014 active AI roles across 196 companies in our index reference RAG as of today. New postings fell 21% in the last 30 days versus the prior 30 (1105 → 874).

Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: Amazon (164 roles), JPMorgan Chase (144 roles), Google (77 roles), Adobe (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 (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, 2,014 active AI roles across 196 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (4%) stages. Most common sectors: Enterprise, Big Tech, Banking. New postings fell 21% in the last 30 days versus the prior 30 (1105 → 874).

Top hiring:

Function

All Engineering · 3068 Product · 343 Research · 94

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All Active only

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350 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
JPMorgan Chase	Applied Machine Learning Scientist - Vice President	Banking	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Recommender systems · Multimodal · Agent research · RL post-training
JPMorgan Chase	Sr Director of Software Engineering - AI/ML platforms (Intelligent Agentic Systems, RAG, LLM Architectures)	Banking	9	Agent orchestration · Model serving · Search & ranking · Fine-tuning
Capital One	Principal Associate, Data Science - AI Foundations	Banking	9	Fine-tuning · Inference infra · Model serving · Agent orchestration · Vector DB · LLM observability
Capital One	Sr. Distinguished AI Engineer (Agentic AI Platform)	Banking	9	Agent orchestration · Guardrails · LLM observability · Tool use · Model serving · Vector DB
JPMorgan Chase	Senior Lead Software Engineer- Java/Python/ AI Solutions	Banking	9	Agent orchestration · Tool use · LLM observability · Vector DB · Fine-tuning · Model serving · Agent research
JPMorgan Chase	Vice President — Principal Applied AI Data Scientist	Banking	9	Agent orchestration · Tool use · Vector DB · LLM observability · Multi-agent
JPMorgan Chase	AI/ML Director	Banking	9	Agent orchestration · Vector DB · Tool use · Evals · Guardrails · LLM observability
JPMorgan Chase	Machine Learning Scientist - Vice President	Banking	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Recommender systems · RL post-training · Multimodal
JPMorgan Chase	Lead Software Engineer -AI	Banking	8	Agent orchestration · Tool use · Evals · LLM observability
JPMorgan Chase	Lead Software Engineer -AI	Banking	8	Agent orchestration · Tool use · Evals · LLM observability
JPMorgan Chase	Senior Director of Software Engineering	Banking	8	Agent orchestration · Code gen
JPMorgan Chase	Applied AI ML Vice President	Banking	8	Agent orchestration · Evals · Model serving
JPMorgan Chase	Agent Platform Engineer Product Solutions Vice President - Chief Data Analytics Office Fusion Platform	Banking	8	Agent orchestration · Tool use
JPMorgan Chase	Applied AI ML Lead [Multiple Positions Available]	Banking	8	Agent orchestration · LLM observability · Evals · Fine-tuning · Model serving
JPMorgan Chase	Security Engineer III - AIML	Banking	8	Agent orchestration · Evals · Guardrails · LLM observability
JPMorgan Chase	Applied AI/ML Lead	Banking	8	Agent orchestration · Model serving · Evals · LLM observability
JPMorgan Chase	Software Engineer III - AI/ML, Prompt Engineer	Banking	8	Agent orchestration · Fine-tuning · Model serving · Vector DB · Evals · Guardrails · LLM observability
Capital One	Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)	Banking	8	Model serving · Inference infra · Guardrails · Vector DB · Fine-tuning
Capital One	Senior Associate, Data Scientist - NLP	Banking	8	Fine-tuning · Model serving · Vector DB
Capital One	Manager, Data Science - GenAI Digital Assistant	Banking	8	Agent orchestration · Fine-tuning · Inference infra · Model serving · Vector DB · LLM observability
JPMorgan Chase	Applied AI ML Engineer	Banking	8	Agent orchestration · LLM observability · Model serving
JPMorgan Chase	Applied AI ML Lead [Multiple Positions Available]	Banking	8	Fine-tuning · Model serving · Inference infra · LLM observability · Evals
Capital One	Senior Manager, Data Science - AI Foundations	Banking	8	Fine-tuning · Inference infra · Model serving · Vector DB · LLM observability
Capital One	Lead AI Engineer (Vision model customization, VLM)	Banking	8	Vision · Multimodal · Inference infra · Model serving · Fine-tuning · Vector DB · Guardrails · LLM observability
JPMorgan Chase	Applied AI ML Senior Associate	Banking	8	Agent orchestration · Model serving · Inference infra · Fine-tuning
Capital One	Lead Machine Learning Engineer (Manager IC)	Banking	8	Model serving · Inference infra · Guardrails · LLM observability · Agent orchestration · Fine-tuning
JPMorgan Chase	Applied AI ML Director	Banking	8	Agent orchestration · LLM observability · Model serving
JPMorgan Chase	Red Team Lead Security Engineer	Banking	8	Evals · Guardrails · LLM observability · Agent orchestration
JPMorgan Chase	AI ML Engineering Lead - Vice President - Wholesale Payments Operations	Banking	8	Fine-tuning
JPMorgan Chase	Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate	Banking	8	Agent orchestration · Tool use · Evals · Fine-tuning · 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?
2,014 active AI roles across 196 companies in our index reference RAG as of today. New postings fell 21% in the last 30 days versus the prior 30 (1105 → 874).
Which companies are hiring for RAG roles?
The companies with the most active RAG listings are: Amazon (164 roles), JPMorgan Chase (144 roles), Google (77 roles), Adobe (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 (4%).
What sectors invest most in RAG?
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.