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
JPMorgan Chase	Lead Agentic Gen AI - Natural Language Querying Engineer, Vice President	Banking	8	Agent orchestration · Tool use · LLM observability · Guardrails
PayPal	Sr Machine Learning Engineer — Agentic Systems	Fintech	8	Agent orchestration · Tool use · Evals · Guardrails · Fine-tuning · Model serving
Deloitte	Manager - GenAI Full Stack Developer	Consulting	8	Agent orchestration · Vector DB · Fine-tuning · Model serving
Salesforce	Software Engineering PMTS	Enterprise	8	Agent orchestration · Model serving · Inference infra · Vector DB
Airbnb	Senior/Staff Machine Learning Engineer, Community Support Engineering	Consumer	8	Agent orchestration · Fine-tuning · Evals · Guardrails · LLM observability
Meta	Creative Coder	Big Tech	8	Agent orchestration · Tool use · LLM observability · Fine-tuning · Model serving · Audio & speech · Multimodal · Agent research
JPMorgan Chase	Asset Management - Quantitative Analyst - Artificial Intelligence & Machine Learning Focus	Banking	8	LLM observability · Agent orchestration · Fine-tuning · Model serving · Recommender systems · Search & ranking · Evals
Microsoft	Principal Technical Program Manager - Applied Science	Big Tech	8	Agent orchestration · Evals
Premera Blue Cross	AI Engineer III	Insurance	8	Model serving · Inference infra · Guardrails · LLM observability
Amazon	Senior AI Solution Architect	Big Tech	8	Agent orchestration · Tool use · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · LLM observability · Multimodal
JPMorgan Chase	Senior Associate -Applied AI Data Scientist	Banking	8	Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving · LLM observability · Guardrails
Cohere	Forward Deployed Engineer, Agentic Platform	AI Frontier	8	Agent orchestration · Model serving
Whatnot	LLM Platform Engineer	Consumer	8	Agent orchestration · Evals · LLM observability · Model serving · Inference infra
Booking	Senior Machine Learning Scientist I	Hospitality	8	Agent orchestration · LLM observability · Evals · Fine-tuning · Model serving
Fivetran	Sr. Principal AI Systems Architect	Data AI	8	Agent orchestration · Tool use · Evals · LLM observability
JPMorgan Chase	Sr Lead Software Engineer - Agentic AI Systems	Banking	8	Agent orchestration · Tool use · Agent research · Vector DB · Fine-tuning · Model serving · LLM observability
JPMorgan Chase	Applied Artificial Intelligence & Machine Learning - Vice President	Banking	8	Agent orchestration · LLM observability · Fine-tuning · Model serving
Cresta	Senior Forward Deployed Engineer (AI Agent) - Germany	Vertical AI	8	Agent orchestration · Tool use · LLM observability · Model serving
Deloitte	ConvergeHEALTH-Full-Stack Software Engineer-Innovation_Delivery_Transformation	Consulting	8	Agent orchestration · Vector DB
Box	Python Developer (AI)	Enterprise	8	Agent orchestration · Vector DB · LLM observability · Guardrails · Model serving
Meta	Software Engineer, AI Native	Big Tech	8	Agent orchestration · LLM observability · Model serving · Fine-tuning · Multimodal
Anthropic	Applied AI Engineer	AI Frontier	8	Agent orchestration · Evals · Fine-tuning · Model serving
Apple	Senior Machine Learning Engineer, Search & AI	Big Tech	8	Search & ranking · Recommender systems · LLM observability · Fine-tuning · Model serving
Eli Lilly	Scientific Lead - Forward Deployed AI Engineer, Applied Intelligence for Discovery	Pharma	8	Agent orchestration · LLM observability · Fine-tuning · Model serving
JPMorgan Chase	Applied AI/ML - Vice President	Banking	8	Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving · LLM observability
Meta	Software Engineer, AI Native	Big Tech	8	Agent orchestration · LLM observability · Fine-tuning · Model serving · Multimodal · Agent research
Meta	Software Engineer, AI Native	Big Tech	8	Agent orchestration · Tool use · LLM observability · Fine-tuning · Model serving · Recommender systems · Multimodal
Spotify	Senior Conversational AI Lead	Consumer	8	Agent orchestration · Guardrails · LLM observability · Agent research
Microsoft	Principal Product Manager	Big Tech	8	Agent orchestration · Evals · Guardrails · LLM observability · Vector DB
Datadog	Manager II, Engineering - Applied AI (NorAm)	Enterprise	8	Model serving · Inference infra · Agent orchestration · 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.