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
Okta	Principal Software Engineer, AI (Web & Data)	Enterprise	7	Agent orchestration · Vector DB · LLM observability · Model serving
ClickHouse	Solutions Architect - Langfuse	Data AI	7	LLM observability · Evals · Model serving
Google	Senior Software Engineer, Cloud AI/ML Infrastructure	Big Tech	7	Agent orchestration · LLM observability · Fine-tuning · Model serving
JPMorgan Chase	AI Product Director - Document Domain	Banking	7	Agent orchestration · LLM observability
Okta	Staff Software Engineer	Enterprise	7	Agent orchestration · LLM observability
Contentful	Full Stack Engineer - Analytics (f/m/d)	Enterprise	7	Agent orchestration · Vector DB · Model serving · Inference infra
Microsoft	Senior Consultant - (AI , Full stack development )	Big Tech	7	Agent orchestration · Guardrails · Evals · LLM observability
Amazon	Sr. Specialist Solution Architect - AI, AWS Mexico Commercial	Big Tech	7	Agent orchestration · Vector DB · Fine-tuning · Model serving
Boeing	Mid-Level Engineering Data Scientist	Aerospace	7	Model serving
Walmart	STAFF, PRODUCT MANAGER	Retail	7	LLM observability · Evals · Guardrails · Fine-tuning · Model serving · Recommender systems · Search & ranking · Multimodal
Capital One	Senior Associate, Data Scientist - People Strategy & Analytics	Banking	7	Vector DB · Fine-tuning · LLM observability · Evals
Adobe	Senior Staff Full Stack Engineer - Agent Platform, Firefly Boards	Enterprise	7	Agent orchestration · Tool use · Model serving · Inference infra · LLM observability · Multimodal
Salesforce	AI Solution Orchestrator	Enterprise	7	Agent orchestration
Walmart	(USA) Senior, Data Engineer - Full Stack	Retail	7	Agent orchestration · LLM observability · Vector DB
ServiceNow	Director, Impact Engineering	Enterprise	7	Agent orchestration · Recommender systems · Evals · LLM observability
Ford	Data Engineer- Full Stack	Auto	7	Vector DB · Agent orchestration · LLM observability · Guardrails
JPMorgan Chase	Senior Lead Site Reliability Engineer	Banking	7	Model serving · Inference infra · Agent orchestration · Vector DB · LLM observability
JPMorgan Chase	AWM: Investment Research, AI and Automation Associate	Banking	7	Agent orchestration · LLM observability · Inference infra · Model serving
Google	Solutions Acceleration Architect, Google Cloud	Big Tech	7	Fine-tuning · Model serving
ServiceNow	Machine Learning Engineer, GAI Search Platform - Moveworks	Enterprise	7	Agent orchestration · LLM observability · Recommender systems · Search & ranking
Google	Engineering Director, Knowledge Catalog	Big Tech	7	LLM observability · Vector DB
JPMorgan Chase	Compliance - CCOR Risk Management Director - Executive Director	Banking	7	Agent orchestration · Guardrails · LLM observability · Model serving
Microsoft	Cloud Solution Architecture, Data & AI - Melbourne	Big Tech	7	Agent orchestration · Model serving
Microsoft	Software Engineer II	Big Tech	7	Agent orchestration · LLM observability · Vector DB · Inference infra · Model serving
Wix	xEngineer - AI Site Creation	Enterprise	7	Agent orchestration · Model serving · Multimodal
AMD	AI Agent Engineer	Semiconductors	7	Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving
Elastic	Principal Software Engineer - Vector Search - Elasticsearch	Enterprise	7	Vector DB · Search & ranking · Model serving · Inference infra
JPMorgan Chase	Data Science Vice President - Card Data Analytics	Banking	7	Agent orchestration · Evals · Guardrails
OpenAI	AI Workflow & Operations, Revenue Strategy & Operations	AI Frontier	7	Agent orchestration · Tool use · LLM observability · Guardrails
Amazon	Data Scientist, WW Ops FP&A	Big Tech	7	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?
2,041 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.