Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: Amazon (164 roles), JPMorgan Chase (144 roles), Google (77 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, 2,014 active AI roles across 196 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 · 343 Research · 94

Status

All Active only

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AI score Recently posted Company A–Z

3505 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
NVIDIA	Senior Applied Researcher, AI Agentic Systems	Semiconductors	9	Agent orchestration · Tool use · LLM observability · Evals
ByteDance	AI Agent R&D Expert (PICO) - San Jose	Big Tech	9	Agent orchestration · Agent research · Evals · Tool use · LLM observability
Clari	Mgr, Engineering - Data Science	Enterprise	9	Agent orchestration · Agent research · Evals · Guardrails · Fine-tuning · LLM observability
Google	Staff Software Engineer, Gemini App Personalization, DeepMind	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving · Recommender systems · Multimodal
Workday	Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform	Enterprise	9	Agent orchestration · Vector DB · Fine-tuning · Model serving · Evals · LLM observability · Recommender systems · Search & ranking
Google	Forward Deployed Engineer, Generative AI (GenMedia), Google Cloud	Big Tech	9	Agent orchestration · Vector DB · Evals · LLM observability · Tool use · Model serving
Decagon	Staff Research Engineer	Vertical AI	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals
Decagon	Senior Research Engineer	Vertical AI	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals
Google	Forward Deployed Engineer, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Fine-tuning · Model serving
Target	Lead Engineer - GenAI	Retail	9	Agent orchestration · Agent research · Tool use · LLM observability · Fine-tuning · Inference infra · Model serving · Synthetic data
Walmart	Senior Data Scientist: Associate AI Experience	Retail	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · LLM observability
Walmart	Principal Data Scientist: Associate AI experience	Retail	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · Multi-agent
Walmart	Distinguished Data Scientist: Associate AI Experience	Retail	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · Multi-agent
Upstart	Principal Engineer, LLM	Fintech	9	Inference infra · Model serving · Vector DB · Evals · LLM observability
Dropbox	Senior Machine Learning Engineer, Dash Agentic AI	Enterprise	9	Agent orchestration · Tool use · Evals · Guardrails · Fine-tuning · Inference infra · Model serving · Agent research
Google	Forward Deployed Engineer, GenAI, Google Cloud	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving
NVIDIA	Senior Solutions Architect, Retail	Semiconductors	9	Agent orchestration · Inference infra · Model serving · Tool use
Walmart	Principal, Data Scientist	Retail	9	Agent orchestration · Inference infra · Model serving · Vector DB · LLM observability · Evals · Guardrails
Airbnb	Machine Learning Engineer, Customer Support Engineering	Consumer	9	Agent orchestration · Tool use · Evals · Guardrails · Fine-tuning · Model serving · RL post-training · Agent research
Walmart	(USA) Senior Manager, Data Science	Retail	9	Agent orchestration · Tool use · LLM observability
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Sierra	Software Engineer, Agent (Thai Speaking)	AI Frontier	9	Agent orchestration · Evals · Model serving · LLM observability
Adobe	AI Software Architect, Forward Deployed	Enterprise	9	Agent orchestration · Vector DB · Fine-tuning · Model serving · Multimodal
Walmart	(USA) Distinguished, Data Scientist	Retail	9	Agent orchestration · Agent research · Tool use · Evals · Vector DB · Fine-tuning · Model serving · Multimodal
Google	Forward Deployed Engineer, Gen AI, Google Cloud	Big Tech	9	Agent orchestration · Model serving · LLM observability · Tool use
Zendesk	Senior Staff Machine Learning Engineer	Enterprise	9	Agent orchestration · Fine-tuning · Model serving · Evals
NVIDIA	Senior Solutions Architect, Generative AI Specialist	Semiconductors	9	Agent orchestration · Fine-tuning · LLM observability
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto	AI Frontier	9	Fine-tuning · Vector DB · Agent orchestration · Model serving
Google	Forward Deployed Engineer, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Model serving · Inference infra · Evals · LLM observability · Tool use
JPMorgan Chase	Senior Lead Software Engineer- Java/Python/ AI Solutions	Banking	9	Agent orchestration · Tool use · LLM observability · Vector DB · Fine-tuning · Model serving · Agent research

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?
2,014 active AI roles across 196 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 (164 roles), JPMorgan Chase (144 roles), Google (77 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.