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

Status

All Active only

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AI score Recently posted Company A–Z

3044 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Mistral AI	Applied Scientist / Research Engineer - EMEA	AI Frontier	10	Pretraining · Fine-tuning · Model serving · Inference infra · Agent orchestration · Multimodal · Vision · Audio & speech
Google	Staff Software Engineer, AAI Research	Big Tech	9	Agent orchestration · Agent research · Tool use · Evals · Fine-tuning
Google	Forward Deployed Engineer III, GenAI	Big Tech	9	Agent orchestration · Vector DB · Evals · LLM observability · Model serving
Google	Partner Forward Deployed Engineer IV, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Vector DB · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
Amazon	Principal Applied Scientist, AWS Agentic AI	Big Tech	9	Agent orchestration · Fine-tuning · Multimodal · LLM observability
Google	Partner Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English)	Big Tech	9	Agent orchestration · Vector DB · Evals · LLM observability · Model serving
Google	Forward Deployed Engineer IV, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Vector DB · LLM observability · Evals · Model serving
Apple	Machine Learning Engineer, Proactive	Big Tech	9	Fine-tuning · LLM observability · Recommender systems · Search & ranking
Google	Senior Staff Software Engineer, Agentic Data Tooling, DeepMind	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · RL post-training · Embodied AI
Mistral AI	Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich	AI Frontier	9	Agent orchestration · Fine-tuning
Google	Partner Forward Deployed Engineer, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Vector DB · LLM observability · Evals · Model serving
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer - Munich	AI Frontier	9	Agent orchestration · Fine-tuning · Model serving
Mistral AI	Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Munich	AI Frontier	9	Fine-tuning · Agent orchestration · Model serving
Salesforce	Forward Deployed Engineering Lead	Enterprise	9	Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving
JPMorgan Chase	Applied Machine Learning Scientist - Vice President	Banking	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Recommender systems · Multimodal · Agent research · RL post-training
Augury	Senior GenAI Engineer	Vertical AI	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · LLM observability · Multimodal
Google	Forward Deployed Engineer, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Vector DB · LLM observability · Model serving · Inference infra
NVIDIA	Senior Software Manager, Agentic AI	Semiconductors	9	Agent orchestration · Tool use · Fine-tuning · RL post-training · Multimodal · Code gen
Netflix	Data Scientist 5 - AI Evals	Big Tech	9	Evals · LLM observability · Agent orchestration · Agent research · Guardrails
Oracle	Snr Director, Applied Science	Enterprise	9	Multimodal · Agent orchestration · Model serving · Inference infra · Evals · Guardrails · LLM observability · Vision · Audio & speech
Google	Forward Deployed Developer III, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Vector DB · LLM observability · Evals
JPMorgan Chase	Sr Director of Software Engineering - AI/ML platforms (Intelligent Agentic Systems, RAG, LLM Architectures)	Banking	9	Agent orchestration · Model serving · Search & ranking · Fine-tuning
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
Google	Forward Deployed Engineer, Generative AI, Google Cloud	Big Tech	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Tool use
MongoDB	Staff Research Scientist	Enterprise	9	Frontier research · Pretraining · Agent research · Multimodal

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.