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
Writer	Software engineer, agents (UK)	AI Frontier	9	Agent orchestration · Tool use · Vector DB · LLM observability
Uber	Senior Staff Machine Learning Engineer – Moonshot AI	Consumer	9	Multimodal · Vision · Audio & speech · LLM observability · Evals · Fine-tuning · Model serving · Recommender systems
Amazon	Sr. Applied Science Manager, Agentic AI Ads, Sponsored Products and Brands	Big Tech	9	Agent orchestration · Agent research · Tool use · RLHF · Evals · LLM observability
NVIDIA	Senior Capability Development Engineer	Semiconductors	9	Agent orchestration · Fine-tuning · Multimodal · LLM observability · Evals · Model serving
Decagon	Senior Research Engineer	Vertical AI	9	Agent orchestration · Fine-tuning · RL post-training · LLM observability · Model serving
Lila Sciences	Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings	AI Frontier	9	Vision · Multimodal · Fine-tuning · Evals
JPMorgan Chase	AI/ML Director	Banking	9	Agent orchestration · Vector DB · Tool use · Evals · Guardrails · LLM observability
Walmart	(USA) Staff, Data Scientist	Retail	9	Agent orchestration · Tool use · Agent research · Evals
Harvey	Senior Software Engineer, Agents	AI Frontier	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
ByteDance	Senior Research Scientist/Engineer - AI Infrastructure	Big Tech	9	Inference infra · Model serving · RL post-training · Frontier research · Agent research · Agent orchestration
Stability AI	Multimodal Generative AI Researcher	AI Frontier	9	Fine-tuning · Multimodal · Vision · LLM observability · Agent research · Frontier research · Interpretability · Synthetic data · Model serving · Inference infra
Cohere	Applied AI Engineer – Agentic Workflows (Korea)	AI Frontier	9	Agent orchestration · Tool use · Vector DB · LLM observability · Guardrails · Fine-tuning
JPMorgan Chase	Machine Learning Scientist - Vice President	Banking	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Recommender systems · RL post-training · Multimodal
Scale AI	Forward Deployed AI Engineering Manager, Enterprise	Data AI	9	Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability
Google	Forward Deployed Engineer II, GenAI, Google Cloud	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving
Cohere	Applied AI Engineer - Agentic Workflows (Singapore)	AI Frontier	9	Agent orchestration · Tool use · Evals · Vector DB · LLM observability · Guardrails
Cohere	Member of Technical Staff, MLE [Singapore]	AI Frontier	9	Fine-tuning · RL post-training · Agent orchestration · Model serving · Evals
Perplexity	Internship - Machine Learning Research Engineer	AI Frontier	9	Fine-tuning · Vector DB · Evals · Multimodal · Search & ranking
Apple	Principal Applied Researcher	Big Tech	9	Agent orchestration · Fine-tuning · Evals · Frontier research · LLM observability · Multimodal · Recommender systems · Search & ranking · RL post-training · Guardrails
Cohere	Member of Technical Staff, Senior/Staff MLE	AI Frontier	9	Fine-tuning · RL post-training · Evals · Model serving · Agent orchestration
Cohere	Member of Technical Staff, MLE	AI Frontier	9	Fine-tuning · RL post-training · Agent orchestration · Evals · Model serving
Cohere	Applied AI Engineer – Agentic Workflows	AI Frontier	9	Agent orchestration · Tool use · Vector DB · LLM observability · Guardrails · Evals
UiPath	Principal Applied Scientist	Enterprise	9	Agent orchestration · Agent research · Tool use · Fine-tuning · Multimodal · Inference infra · Model serving · LLM observability · RL post-training
Uber	Staff ML Engineer, Generative AI	Consumer	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Multimodal · Audio & speech
Sierra	Software Engineer, Agent	AI Frontier	9	Agent orchestration · Model serving · Evals · Agent research
Grafana Labs	Staff AI Engineer United States \|Remote	Data AI	9	Agent orchestration · Multi-agent · LLM observability · Tool use
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Microsoft	Research Intern - OneDrive and SharePoint (Summer 2026)	Big Tech	9	Multimodal · Agent orchestration · Evals · Synthetic data · Fine-tuning · Vision · Code gen
Sierra	Software Engineer, Agent	AI Frontier	9	Agent orchestration · Evals · Model serving
Sierra	Software Engineer, Agent	AI Frontier	9	Agent orchestration · Model serving · Evals · 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.