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 · 3049 Product · 340 Research · 94

Status

All Active only

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AI score Recently posted Company A–Z

3483 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
EvenUp	Staff Machine Learning Engineer - Systems	Vertical AI	8	Vector DB · Fine-tuning · Model serving · Evals · Agent orchestration
NVIDIA	Senior Software Engineer, RAG and Agentic AI	Semiconductors	8	Agent orchestration · Tool use · Inference infra · Model serving · LLM observability · Evals
Adobe	Senior AI Engineering Manager - Forward Deployed	Enterprise	8	Agent orchestration · Fine-tuning · Model serving
Apple	AI/ML Software Engineer - SES Gen AI Solutions, IS&T	Big Tech	8	Agent orchestration · Tool use · Vector DB · LLM observability · Guardrails · Fine-tuning · Inference infra · Model serving · Multimodal
Perplexity	Internship - Search Machine Learning Engineer	AI Frontier	8	Search & ranking · Recommender systems · Fine-tuning · Model serving · LLM observability
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer - Morocco	AI Frontier	8	Agent orchestration · Fine-tuning · Model serving
ByteDance	Tech Lead, Software Engineer - AI Agent Memory Infrastructure	Big Tech	8	Agent orchestration · Vector DB · Multimodal · Inference infra · Model serving · 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?
2,073 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.