Which companies are hiring for RAG roles?

The companies with the most active RAG listings are: JPMorgan Chase (149 roles), Amazon (147 roles), Adobe (76 roles), Google (67 roles), Walmart (64 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 (84%), 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, 1,963 active AI roles across 200 companies in our index reference RAG. Hiring concentrates at the agents (84%) and application (5%) stages. Most common sectors: Enterprise, Big Tech, Banking.

Top hiring:

Function

All Engineering · 2660 Product · 297 Research · 87

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All Active only

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103 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
NVIDIA	Senior Software Manager, Agentic AI	Semiconductors	9	Agent orchestration · Tool use · Fine-tuning · RL post-training · Multimodal · Code gen
NVIDIA	Senior Data Scientist - Security and Networking Research	Semiconductors	9	Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Inference infra · Multimodal · Synthetic data
NVIDIA	Senior Software Engineer - Agentic AI	Semiconductors	9	Agent orchestration · Fine-tuning · Vector DB · Multimodal · LLM observability
NVIDIA	Senior AI Safety Red Teamer	Semiconductors	9	Evals · Guardrails · Agent research · LLM observability
NVIDIA	Senior Research Scientist	Semiconductors	9	Frontier research · Pretraining · Agent research
NVIDIA	Senior LLM Agents Architect	Semiconductors	9	Agent orchestration · Tool use · Evals · LLM observability · Inference infra · Model serving · Code gen
NVIDIA	Senior Software Engineer, Agentic AI – Nvidia Blueprints and NIM Integrations	Semiconductors	9	Agent orchestration · Tool use · Evals · Model serving · Inference infra
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
NVIDIA	Senior GenAI Technical Lead, Partner Platforms	Semiconductors	9	Agent orchestration · Tool use · Vector DB · Model serving · Inference infra · Multimodal
NVIDIA	Senior Research Engineer - AI Coding Tools	Semiconductors	9	Agent orchestration · Tool use · Evals · Fine-tuning · Code gen · Synthetic data
NVIDIA	ML and Agentic Systems Engineer	Semiconductors	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving · Agent research
NVIDIA	Senior Solutions Architect - Generative AI	Semiconductors	9	Fine-tuning · Agent orchestration · Model serving · Inference infra
NVIDIA	Senior Applied Researcher, AI Agentic Systems	Semiconductors	9	Agent orchestration · Tool use · LLM observability · Evals
NVIDIA	Senior Solutions Architect, Retail	Semiconductors	9	Agent orchestration · Inference infra · Model serving · Tool use
NVIDIA	Senior Solutions Architect, Generative AI Specialist	Semiconductors	9	Agent orchestration · Fine-tuning · LLM observability
NVIDIA	Senior Software Engineer, RAG and Agentic AI	Semiconductors	9	Agent orchestration · Tool use · Model serving · Inference infra · Multimodal
NVIDIA	Solutions Architect, Model Builder - LATAM	Semiconductors	9	Agent orchestration · Tool use · Fine-tuning · Inference infra · Model serving · LLM observability
NVIDIA	Senior Software Engineer - Agentic Memory	Semiconductors	9	Agent orchestration · Evals · Synthetic data · LLM observability · Multimodal
NVIDIA	Senior Solutions Architect, Generative AI Specialist	Semiconductors	9	Agent orchestration · Multimodal · Model serving · Inference infra · Fine-tuning · Evals · Guardrails · LLM observability
NVIDIA	Senior Solutions Architect, Generative AI Specialist	Semiconductors	9	Agent orchestration · Multimodal · Inference infra · Model serving · Fine-tuning · Evals · Guardrails · LLM observability · Vision · Audio & speech
NVIDIA	Solutions Architect, Applied AI Builder	Semiconductors	9	Agent orchestration · Tool use · Evals · Inference infra · Model serving · Synthetic data
NVIDIA	Deep Learning Solution Architect	Semiconductors	9	Pretraining · Fine-tuning · Inference infra · Model serving · Agent orchestration
NVIDIA	Machine Learning Engineer, GeForce G-Assist	Semiconductors	9	Agent orchestration · Tool use · Inference infra · Model serving · Multimodal
NVIDIA	Senior Deep Learning Engineer - Model Evaluation & AI Systems	Semiconductors	9	Evals · LLM observability · Agent orchestration · Vision · Multimodal · Model serving
NVIDIA	Lead Principal Engineer, Enterprise Agentic AI Platform	Semiconductors	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Inference infra · Model serving
NVIDIA	Senior AI ML Solution Engineer, AI-Native Development	Semiconductors	9	Agent orchestration · Tool use · Evals · Fine-tuning · Code gen
NVIDIA	Senior Manager, Engineering - Enterprise AI and Automation	Semiconductors	9	Agent orchestration · Tool use · Evals · Guardrails · Vector DB · Inference infra · Model serving
NVIDIA	Senior Capability Development Engineer	Semiconductors	9	Agent orchestration · Fine-tuning · Multimodal · LLM observability · Evals · Model serving
NVIDIA	Applied AI Engineer - VLSI Design	Semiconductors	8	Agent orchestration · Fine-tuning · Vector DB · 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?
1,963 active AI roles across 200 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: JPMorgan Chase (149 roles), Amazon (147 roles), Adobe (76 roles), Google (67 roles), Walmart (64 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 (84%), application (5%).
What sectors invest most in RAG?
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.