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
Scale AI	Senior Staff Forward Deployed AI Engineer, Enterprise	Data AI	9	Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability
Scale AI	Staff Forward Deployed AI Engineer, Enterprise	Data AI	9	Agent orchestration · Tool use · Fine-tuning · Model serving
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Disney	Lead Machine Learning Engineer	Media	9	Agent orchestration · Agent research · Multimodal · LLM observability · Evals · Guardrails · Model serving · Inference infra
Augury	Experienced AI Applied Scientist	Vertical AI	9	Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems
Google	Senior Software Engineer, Acceleration Platform	Big Tech	9	Agent orchestration · Evals · LLM observability · Multi-agent
Google	Research Scientist, Gemini Retrieval and Agera, DeepMind	Big Tech	9	Agent research · Agent orchestration · Multimodal · Frontier research · LLM observability · Evals · Fine-tuning
Google	Staff Software Engineer, GeminiApp Personalization, DeepMind	Big Tech	9	Agent orchestration · LLM observability · Recommender systems
Apple	Applied AI Engineer	Big Tech	9	Agent orchestration · Tool use · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Multimodal
Apple	Senior Machine Learning Manager, Search & Knowledge Platform	Big Tech	9	Fine-tuning · RL post-training · Reward modeling · LLM observability · Model serving · Inference infra
GE Healthcare	Staff AI Scienitist	Healthcare	9	Agent orchestration · Tool use · Fine-tuning · LLM observability · Guardrails · Evals · Multimodal · Agent research · Frontier research · Model serving
GE Healthcare	Staff AI Scientist	Healthcare	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Agent research · Multimodal
Amazon	Applied Scientist - Agentic AI, Amazon Fulfillment Technology	Big Tech	9	Agent orchestration · Tool use · Fine-tuning · RL post-training · Evals · LLM observability · Vector DB · Agent research
Amazon	Manager, Research Analysis, RBS Tech	Big Tech	9	Agent orchestration · Inference infra · Model serving · Guardrails · LLM observability · Fine-tuning
Google	Forward Deployed Engineer, Generative AI, Telecommunications, Google Cloud	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving · Multimodal
NVIDIA	Senior Software Engineer, Agentic AI – Nvidia Blueprints and NIM Integrations	Semiconductors	9	Agent orchestration · Tool use · Evals · Model serving · Inference infra
Databricks	Senior Staff Applied AI Engineer - Context Retrieval	Data AI	9	Agent orchestration · Evals · Search & ranking · Model serving
Booking	Senior Machine Learning Scientist	Hospitality	9	Agent orchestration · Agent research · LLM observability · Evals · Tool use
Oracle	Software Developer - Architect	Enterprise	9	Agent orchestration · Multi-agent · Fine-tuning · LLM observability
AMD	AI Agent Engineer	Semiconductors	9	Agent orchestration · Tool use · Agent research · LLM observability · Evals
NVIDIA	Developer Relations Manager, Higher Education and Research - AI Agents	Semiconductors	9	Agent orchestration · Agent research · Tool use · Evals · LLM observability · Multimodal · Embodied AI
Target	Lead Data Scientist- Comp Intel	Retail	9	Agent orchestration · Tool use · Vector DB · Fine-tuning · LLM observability · Guardrails · Agent research
Google	Forward Deployed Engineer IV, Applied AI, Google Cloud	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
Google	Forward Deployed Engineer II, GenAI, Google Cloud	Big Tech	9	Agent orchestration · Vector DB · LLM observability · Model serving
Salesforce	SMTS/LMTS - AI ML Engineers	Enterprise	9	Agent orchestration · Evals · Guardrails · LLM observability
Mistral AI	Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi	AI Frontier	9	Agent orchestration · Fine-tuning · Model serving
SoFi	Staff AI Engineer	Fintech	9	Agent orchestration · Tool use · Evals · LLM observability
NVIDIA	Senior GenAI Technical Lead, Partner Platforms	Semiconductors	9	Agent orchestration · Tool use · Vector DB · Model serving · Inference infra · Multimodal
Visa	Senior AI Engineer	Fintech	9	Agent orchestration · Tool use · Guardrails · LLM observability · Fine-tuning · Inference infra · Model serving · Frontier research · Interpretability · RL post-training · Agent research · Multimodal
Google	Forward Deployed Developer Manager, Gen AI, Google Cloud	Big Tech	9	Agent orchestration · Model serving · LLM observability · Tool use

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.