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
Amazon	Applied Scientist II, Amazon Travel & Events	Big Tech	8	Multimodal · Vision · Fine-tuning · Model serving · Inference infra · Interpretability
Comcast	Software Engineer - Agentic AI	Media	8	Agent orchestration · Tool use · Evals · LLM observability · Agent research
Intel	Firmware validation AI intern	Semiconductors	8	Agent orchestration · Tool use · Vector DB · LLM observability · Evals
Salesforce	Forward Deployed Engineer (Multiple Levels)	Enterprise	8	Agent orchestration · LLM observability · Agent research
Capital One	Sr. Lead AI Engineer (GenAI Platform)	Banking	8	Model serving · Inference infra · Fine-tuning · Vector DB · Guardrails · LLM observability · Evals
Visa	Staff Engineer GenAI Developer	Fintech	8	Agent orchestration · Vector DB · Fine-tuning · LLM observability
Adobe	Sr Engineering Manager, AI Enablement	Enterprise	8	Agent orchestration · Tool use · Evals · LLM observability
BCG	BCG Platinion \| Lead IT Architect - AI Platforms	Consulting	8	Agent orchestration · LLM observability · Model serving · Inference infra
BCG	BCG Platinion \| Principal Architect - AI Platforms	Consulting	8	Agent orchestration · LLM observability · Model serving · Inference infra
NVIDIA	Senior AI Engineer, Agents and Developer Workflows	Semiconductors	8	Agent orchestration · LLM observability · Fine-tuning
Ford	Data Scientist	Auto	8	Agent orchestration · Evals · LLM observability
Google	Forward Deployed Engineering Manager, GenAI, Google Cloud	Big Tech	8	Agent orchestration · Tool use · LLM observability · Model serving
Celonis	Applied Value Engineer	Data AI	8	Agent orchestration · Guardrails · LLM observability · Fine-tuning · Tool use · Multimodal
Snowflake	Staff Applied AI Engineer	Data AI	8	Agent orchestration · LLM observability · Model serving · Evals · Guardrails
Expedia	Principal Software Development Engineer - Gen AI	Hospitality	8	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving
Expedia	Senior Machine Learning Engineer	Hospitality	8	Model serving · Inference infra · Agent orchestration · LLM observability · Guardrails
NVIDIA	Machine Learning Intern - AI Agents Conversational AI	Semiconductors	8	Agent orchestration · Vector DB · Audio & speech · LLM observability · Model serving · Inference infra
BCG	Global IT GenAI Software Engineer Director - AI & Innovation	Consulting	8	Agent orchestration · Multi-agent · Vector DB · Fine-tuning · Model serving · LLM observability · Guardrails
NVIDIA	Senior Data and AI Solutions Engineer	Semiconductors	8	Agent orchestration · Tool use · Evals · Inference infra · Model serving
Autodesk	Principal Developer, AI/ML	Enterprise	8	Agent orchestration · Fine-tuning · Model serving · LLM observability
Ford	Full Stack Software Engineer, AI Integration	Auto	8	Agent orchestration · Tool use · Vector DB · Model serving · LLM observability · Evals
JPMorgan Chase	Senior Lead Security Engineer, AI	Banking	8	Agent orchestration · Vector DB · Fine-tuning · Model serving · Guardrails · Evals · LLM observability
JPMorgan Chase	AI/ML Product Manager - Payments - Vice President	Banking	8	Agent orchestration · LLM observability · Guardrails
JPMorgan Chase	Applied Artificial Intelligence/ Machine Learning Lead - Vice President	Banking	8	Agent orchestration · Fine-tuning · Model serving · Evals
JPMorgan Chase	WCR- Quantitative Research - Associate	Banking	8	Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving · LLM observability
Google	Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise	Big Tech	8	Agent orchestration · Evals · LLM observability · Model serving
JPMorgan Chase	Sr. Lead Architect-Applied AI/ML	Banking	8	Model serving · Inference infra · Recommender systems · Agent orchestration · Agent research
JPMorgan Chase	Senior Associate, AI ML Platform Engineering	Banking	8	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving
ServiceTitan	Senior Data Scientist	Enterprise	8	Agent orchestration · Evals · Guardrails · LLM observability
Capital One	Senior Manager, Data Science - LLM Customization Team	Banking	8	Fine-tuning · Vector DB · Model serving · 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.