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 · 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
Verizon	Director of Digital Customer Experience & AI Innovation	Telecom	7	LLM observability · Agent orchestration · Guardrails · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Interpretability · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI
Capital One	Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)	Banking	7	Agent orchestration · Model serving
Expedia	Software Development Engineer II	Hospitality	7	Agent orchestration · Tool use · LLM observability · Model serving
Pfizer	AI Solutions Expert—Agent Developer	Pharma	7	Agent orchestration · Vector DB · LLM observability
Pfizer	Manager, Data Engineering	Pharma	7	Agent orchestration · LLM observability
T-Mobile	Sr Engineer, Enterprise AI	Telecom	7	Agent orchestration · LLM observability · Model serving · Vector DB
AT&T	Principal Solution Architect	Telecom	7	Agent orchestration · Tool use
Adobe	Product Security Engineer	Enterprise	7	Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · LLM observability · Guardrails
Walmart	Software Engineer III	Retail	7	Agent orchestration · Tool use · Fine-tuning · LLM observability · Guardrails
Zendesk	Applied Scientist	Enterprise	7	Agent orchestration · LLM observability · Fine-tuning · Model serving · Recommender systems
Visa	Digital Senior Manager, Visa Consulting and Analytics (VCA)	Fintech	7	Agent orchestration · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Multimodal · Frontier research · Interpretability · Synthetic data · Agent research · RL post-training
Ford	Software Engineer	Auto	7	Vision · Inference infra · Model serving · Agent orchestration
Microsoft	Cloud Solution Architect - Copilot	Big Tech	7	Agent orchestration · Tool use · Copilot
GitLab	AI Transformation Owner, Marketing	Enterprise	7	Agent orchestration · Tool use · Evals
JPMorgan Chase	Software Engineer [Multiple Positions Available]	Banking	7	Agent orchestration · Fine-tuning · Model serving · LLM observability
Meta	Automation Engineer, Materials Research Science	Big Tech	7	Agent orchestration · Model serving
DocuSign	Senior Software Engineer Full Stack	Enterprise	7	Agent orchestration · Tool use · LLM observability · Model serving
Amazon	Sr. Developer Experience Engineer, Kiro	Big Tech	7	Agent orchestration · Tool use · LLM observability
Amazon	Sr. Software Development Engineer, Amazon Quick	Big Tech	7
Netflix	Senior Applied AI Lead, Talent	Big Tech	7	Agent orchestration · LLM observability
Intel	SoC PTP Val and Opt Engineer (Temporary position)	Semiconductors	7	Agent orchestration · Agent research · LLM observability
Visa	Product Analyst, AI/ML Platforms	Fintech	7	Agent orchestration · Evals · Fine-tuning · Inference infra · Model serving · Vector DB · LLM observability
Expedia	Principal Product Manager - Agentic Search	Hospitality	7	Agent orchestration · Agent research · Vector DB · LLM observability
NVIDIA	Applied AI Engineer, Product Convergence and Closure	Semiconductors	7	Agent orchestration · Evals · LLM observability · Inference infra · Model serving
Johnson & Johnson	Principal Data Scientist - Immunology - (2 positions)	Pharma	7
Amazon	Design Technologist, Agentic AI & Marketing Automation	Big Tech	7	Agent orchestration · Tool use · Vector DB · Model serving
Boeing	Senior Cloud Solutions Architect	Aerospace	7	Model serving · Inference infra
BCG	AI Solutions Consultant - Platinion	Consulting	7	Guardrails
JPMorgan Chase	AI/ML Software Engineer III- Java / Python	Banking	7	Agent orchestration · LLM observability · Fine-tuning · Model serving
Oracle	AI Engineer – Agent Platform - VAGA EXCLUSIVA PARA PCD	Enterprise	7	Agent orchestration · Tool use · LLM observability · Model serving

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.