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.

← Tag co-occurrence network

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
Expedia	Data Scientist II - Marketing Automation Performance Analytics	Hospitality	7	Agent orchestration · LLM observability · Recommender systems · Search & ranking
Workday	Sr Manager, Software Development Engineering - Evisort AI	Enterprise	7	Agent orchestration · LLM observability
Johnson & Johnson	Data and Generative AI Engineer	Pharma	7	Agent orchestration · Tool use · Fine-tuning
Vanta	Software Engineer, AI Product (Canada)	Enterprise	7	Agent orchestration · Evals · Guardrails · LLM observability
Elastic	Principal Search Consulting Architect	Enterprise	7	Vector DB · Model serving · Search & ranking · LLM observability
Elastic	Principal Search Consulting Architect	Enterprise	7	Search & ranking · Vector DB · Model serving · Inference infra
Meta	Linguistic Engineer	Big Tech	7	Multimodal · LLM observability
ClickUp	Staff Backend Engineer, Search	Enterprise	7	Search & ranking · Vector DB · LLM observability · Model serving
JPMorgan Chase	Lead Software Engineer - Python and AI/ML	Banking	7	Agent orchestration · Tool use · Vector DB · LLM observability
Google	Customer Engineer II, Applied AI, Google Cloud	Big Tech	7	LLM observability
Instacart	Forward Deployed Engineer	Consumer	7	Agent orchestration · Tool use
Instacart	Forward Deployed Engineer	Consumer	7	Agent orchestration · Tool use
Google	Staff Software Engineer, Search Next	Big Tech	7	Model serving · Inference infra · Search & ranking · Agent orchestration · Vector DB · Fine-tuning · Evals · LLM observability · Audio & speech
Box	Machine Learning Engineer III, Search Relevance	Enterprise	7	Search & ranking · Recommender systems · Vector DB · Model serving · Inference infra · LLM observability
Weights & Biases	Account Solution Architect - Financial Services	Data AI	7	LLM observability · Model serving · Inference infra · Fine-tuning · Evals · Vector DB
Celonis	Senior Value Engineer - Banking	Data AI	7	Agent orchestration · Guardrails
Microsoft	Architect - AI Business Solutions	Big Tech	7	Agent orchestration · Tool use · LLM observability · Guardrails
UiPath	Software Engineer II	Enterprise	7	Agent orchestration · Agent research · Tool use · Evals · LLM observability · Model serving
Amazon	AI & AWS Software Development Engineer , Ring/Blink CS Technology Enablement	Big Tech	7	LLM observability · Model serving · Inference infra · Fine-tuning · Guardrails · Agent orchestration
Expedia	Senior Manager, Software Development Engineering	Hospitality	7	Agent orchestration · Agent research · Model serving · LLM observability · Guardrails
Nordstrom	Senior Engineer 2: AI Agentic Platform (Hybrid - Seattle, WA)	Retail	7	Agent orchestration · Tool use · Vector DB · LLM observability · Model serving
Workday	Senior Technical Delivery Consultant - AI Practice	Enterprise	7	Agent orchestration · LLM observability · Guardrails
Deloitte	Senior Data Scientist - Government & Public Services	Consulting	7
Autodesk	Principal Data Engineer, User Success (Agentic Experiences)	Enterprise	7	Agent orchestration · Vector DB · LLM observability · Inference infra
Autodesk	Principal Data Engineer, User Success	Enterprise	7	Agent orchestration · Tool use · Vector DB · LLM observability · Inference infra · Model serving
Bank of America	Senior Engineer - Enterprise GenAI Platform Architect	Banking	7	Agent orchestration · Tool use · Guardrails · Vector DB · Model serving · LLM observability
Salesforce	Senior AI and Data Architect	Enterprise	7	Agent orchestration · Vector DB · LLM observability
Monday.com	Senior Product Manager	Enterprise	7	Agent orchestration · Tool use · LLM observability · Model serving
Perplexity	Member of Technical Staff (ML Engineer, Recommendations & User Modeling)	AI Frontier	7	Recommender systems · Search & ranking
Lattice	Senior Product Designer, AI	Enterprise	7	Agent orchestration · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Multimodal

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.