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
Instacart	Senior Staff Machine Learning Engineer, Search & Discovery	Consumer	8	Recommender systems · Search & ranking · Agent orchestration · Tool use · Fine-tuning · Model serving
Canva	Senior Machine Learning Engineer - Inspire & Create (AU Remote)	Enterprise	8	Fine-tuning · Model serving
Canva	Senior Machine Learning Engineer - Inspire & Create (AU Remote)	Enterprise	8	Fine-tuning · LLM observability · Model serving · Multimodal
Canva	Senior Machine Learning Engineer - Inspire & Create (AU Remote)	Enterprise	8	Fine-tuning · Model serving · Multimodal
Adobe	Director of Software Engineering & Applied AI (Level 6) – Product Success Engineering, Adobe Experience Platform	Enterprise	8	Agent orchestration · LLM observability
NVIDIA	Senior AI and MLOps Engineer - Security and Networking Research	Semiconductors	8	Agent orchestration · Model serving · Inference infra · LLM observability · Fine-tuning
Salesforce	Missionforce - Senior/Lead Forward Deployed Engineer (FDE), Public Sector	Enterprise	8	Agent orchestration · LLM observability · Fine-tuning · Model serving
Adobe	Senior Forward Deployed Engineer	Enterprise	8	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving
Adobe	Lead Forward Deployed Engineer	Enterprise	8	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving
Walmart	Staff, Software Engineer	Retail	8	Agent orchestration · Vector DB · Fine-tuning · Model serving
JPMorgan Chase	AI/LLM Product Director - Executive Director	Banking	8	Agent orchestration · Fine-tuning · RL post-training · Search & ranking · LLM observability
JPMorgan Chase	Lead Software Engineer- Agentic Gen AI / NLP	Banking	8	Agent orchestration · LLM observability · Guardrails · Tool use
Amazon	Senior AI Solution Architect	Big Tech	8	Agent orchestration · Tool use · Vector DB · Model serving
Amazon	Senior AI Solution Architect	Big Tech	8	Agent orchestration · Tool use · Vector DB · Fine-tuning · Inference infra · Model serving · LLM observability · Multimodal
Amazon	Senior AI Solution Architect	Big Tech	8	Agent orchestration · Tool use · Vector DB · LLM observability · Model serving
NVIDIA	Senior Product Architect, Storage	Semiconductors	8	Agent orchestration · Inference infra · Model serving · Vector DB · Training infra
Zillow	Machine Learning Engineer, Agentic AI	Consumer	8	Agent orchestration · Agent research · Tool use · Model serving · LLM observability
Klaviyo	Lead AI Engineer	Enterprise	8	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving
Klaviyo	Sr. Lead AI Engineer	Enterprise	8	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Model serving · Fine-tuning · Inference infra · Agent research
JPMorgan Chase	Asset Management - NLP/LLM Data Scientist - Associate	Banking	8	Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability
Cohere	Forward Deployed Engineer, Sovereign AI	AI Frontier	8	Agent orchestration · Model serving · Inference infra
Cursor	Software Engineer, Bugbot	Coding AI	8	Agent orchestration · Evals · LLM observability · Code gen
Microsoft	Applied Engineer II	Big Tech	8	Agent orchestration · Fine-tuning · Model serving · Evals · Guardrails · LLM observability
Amazon	Senior Solutions Architect - Telco Customer Experience Transformation, AWS Industries, Telco	Big Tech	8	Agent orchestration · Model serving · Inference infra
NVIDIA	Manager, AI and Software	Semiconductors	8	Agent orchestration · Vector DB · Recommender systems · LLM observability
EvenUp	AI Product Manager	Vertical AI	8	Fine-tuning · Evals · Agent orchestration · LLM observability · Model serving
OpenAI	Product Manager, Personalization	AI Frontier	8	Agent orchestration · LLM observability
Apple	ML Applied Scientist, Apple Services Engineering AI/ML	Big Tech	8	Agent orchestration · Recommender systems · Search & ranking · LLM observability · Fine-tuning · Model serving · Vector DB
Hightouch	AI Operations, GTM	Data AI	8	Agent orchestration · Tool use · LLM observability
Celonis	Senior Value Engineer - Life Sciences	Data AI	8	Agent orchestration · Guardrails · 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.