Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: Amazon (167 roles), JPMorgan Chase (146 roles), Google (78 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, 2,037 active AI roles across 199 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 · 3068 Product · 342 Research · 94

Status

All Active only

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AI score Recently posted Company A–Z

3504 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Cognite	Applied AI Engineer (Fullstack), AI Co-Innovation	Industrial	8	Agent orchestration · Tool use · Vector DB · LLM observability
Mistral AI	Founder in Residence, Open Application for Founders	AI Frontier	8	Agent orchestration · Fine-tuning · Model serving
Mistral AI	Applied Scientist / Research Engineer, AI4Engineering - EMEA	AI Frontier	8	Agent orchestration · Fine-tuning · Evals
Sumo Logic	Senior Machine Learning Engineer	Enterprise	8	Agent orchestration · LLM observability · Agent research
Amazon	Applied Scientist II, Brand Registry	Big Tech	8	Agent orchestration · Fine-tuning · LLM observability
Amazon	Customer Solutions Manager, Prototyping & Customer Engineering	Big Tech	8	Agent orchestration · Vector DB · Agent research
Amazon	SDE II, Same Day Delivery	Big Tech	8	Agent orchestration · Vector DB · Fine-tuning · LLM observability · Tool use
Amazon	Applied Scientist, AWS Marketplace & Partner Services	Big Tech	8	Recommender systems · Search & ranking · Agent orchestration · Model serving
Eli Lilly	Senior Principal Software Engineer - SPE	Pharma	8	Agent orchestration · Vector DB · LLM observability · Guardrails
Eli Lilly	Associate Director - AI Engineering	Pharma	8	Agent orchestration · Tool use · LLM observability · Model serving · Inference infra · Guardrails
T-Mobile	Principal GenAI Software Engineer	Telecom	8	Agent orchestration · Guardrails · LLM observability · Model serving
Disney	Sr Data Scientist	Media	8	Multimodal · Fine-tuning · Inference infra · Model serving · Evals · Vector DB
Merck	Senior AI Developer	Pharma	8	LLM observability · Fine-tuning · Vector DB · Model serving
Smartsheet	Senior Software Engineer II - Applied AI (Remote Eligible)	Seattle	8	Evals · LLM observability · Agent orchestration · Model serving
Uber	Lead, Applied AI	Consumer	8	Agent orchestration · Vector DB · LLM observability · Evals · Guardrails · Tool use
Salesforce	Senior AI/ML Engineer - SMTS	Enterprise	8	Agent orchestration · Model serving · Evals
Snowflake	Senior Product Manager - Data Observability	Data AI	8	Agent orchestration · Agent research · LLM observability
JPMorgan Chase	AI Engineering Director	Banking	8	Agent orchestration · Tool use · Guardrails · LLM observability · Vector DB · Model serving · Inference infra
Elastic	Lead GenAI Cloud Developer	Enterprise	8	Agent orchestration · Vector DB · Fine-tuning · Model serving · Inference infra · LLM observability · Evals
Smartsheet	Senior Forward Deployed AI Engineer (Remote Eligible in the UK)	Seattle	8	Agent orchestration · Tool use · Evals
Smartsheet	Senior Forward Deployed AI Engineer (Remote Eligible in Germany)	Seattle	8	Agent orchestration · Tool use · Evals · LLM observability
Salesforce	Partner Technical Architect - Agentforce	Enterprise	8	Agent orchestration · Tool use · Guardrails · LLM observability
AT&T	AI Automation Engineer-SRE Focus (Early Career)	Telecom	8	Agent orchestration · Agent research · LLM observability
NVIDIA	Manager, Solutions Architecture - Global Partner Team	Semiconductors	8	Agent orchestration · LLM observability · Model serving
Bank of America	Data Scientist I	Banking	8	Agent orchestration · LLM observability
Autodesk	Senior Software AI Engineer	Enterprise	8	Agent orchestration · Tool use · Vector DB · Fine-tuning
Visa	Software Engineer - Sr. Consultant level	Fintech	8	Agent orchestration · Vector DB · LLM observability · Model serving
Salesforce	Lead Agentic Data Systems Engineer	Enterprise	8	Agent orchestration · Synthetic data · Evals · Tool use
xAI	Member of Technical Staff - X Search	AI Frontier	8	Search & ranking · Recommender systems · Vector DB · Agent orchestration
ClickUp	Staff AI Engineer - AI Platform	Enterprise	8	Agent orchestration · Model serving · Inference infra · 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?
2,037 active AI roles across 199 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 (146 roles), Google (78 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.