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
Amazon	Sr. Applied Scientist, Enterprise Security Products	Big Tech	9	Agent orchestration
Adobe	Sr Engineering Manager - Agentic AI, Adobe Express	Enterprise	9	Agent orchestration · Tool use · LLM observability · Model serving
Harvey	Staff Software Engineer, Agents	AI Frontier	9	Agent orchestration · Tool use · Evals · LLM observability
Harvey	Staff Software Engineer, Agents	AI Frontier	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
Harvey	Software Engineer, Agents	AI Frontier	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
Elastic	Lead GenAI Cloud Developer	Enterprise	9	Agent orchestration · Vector DB · Fine-tuning · Model serving · Inference infra · LLM observability · Evals · Tool use · Guardrails
Anthropic	Research Engineer, Search and Knowledge Post-Training	AI Frontier	9	RL post-training · Evals · Search & ranking · Agent research · Frontier research · LLM observability
Sierra	Agent Engineer, TLM	AI Frontier	9	Agent orchestration · Evals · LLM observability
Microsoft	Principal Applied Scientist	Big Tech	9	Agent orchestration · Agent research · Tool use · LLM observability · Vector DB · Fine-tuning
Databricks	AI Engineer - FDE (Forward Deployed Engineer) - Public Sector	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Expedia	Senior Machine Learning Engineer (Gen AI & Multi-Agentic Systems)	Hospitality	9	Agent orchestration · Vector DB · Fine-tuning · RL post-training · Inference infra · Model serving · Multimodal · Vision · Audio & speech · Code gen · Evals · Guardrails · LLM observability
Expedia	Director, Machine Learning Science - Content AI	Hospitality	9	Agent orchestration · LLM observability · Fine-tuning · Model serving · Recommender systems · Vision · Multimodal · Agent research
Expedia	Machine Learning Engineer III (Gen AI & Multi-Agentic Systems)	Hospitality	9	Agent orchestration · Fine-tuning · Vector DB · Multimodal · Inference infra · Model serving · LLM observability · Evals · Guardrails · RL post-training · Code gen
Capital One	Principal Associate, Data Science - AI Foundations	Banking	9	Fine-tuning · Inference infra · Model serving · Agent orchestration · Vector DB · LLM observability
NVIDIA	Senior Research Engineer - AI Coding Tools	Semiconductors	9	Agent orchestration · Tool use · Evals · Fine-tuning · Code gen · Synthetic data
Capital One	Sr. Distinguished AI Engineer (Agentic AI Platform)	Banking	9	Agent orchestration · Guardrails · LLM observability · Tool use · Model serving · Vector DB
NVIDIA	ML and Agentic Systems Engineer	Semiconductors	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving · Agent research
Pika Labs	Senior Software Engineer, Agent	AI Frontier	9	Agent orchestration · Tool use · Vector DB · LLM observability · Multimodal · Audio & speech · Code gen
Meta	AI Research Scientist — Agentic AI for Materials Discovery	Big Tech	9	Agent orchestration · Agent research
NVIDIA	Senior Solutions Architect - Generative AI	Semiconductors	9	Fine-tuning · Agent orchestration · Model serving · Inference infra
Mistral AI	Applied Scientist / Research Engineer - Singapore	AI Frontier	9	Pretraining · Fine-tuning · Model serving · Agent orchestration · Multimodal · Vision · Audio & speech
Mistral AI	Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal	AI Frontier	9	Agent orchestration · Fine-tuning
Mistral AI	Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA	AI Frontier	9	Agent orchestration · Fine-tuning · Model serving
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer - Montreal	AI Frontier	9	Fine-tuning · Agent orchestration · Vector DB · Model serving · Inference infra
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer - EMEA	AI Frontier	9	Fine-tuning · Agent orchestration · Model serving
Mistral AI	Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA	AI Frontier	9	Fine-tuning · Agent orchestration · Model serving · Inference infra
Mistral AI	Applied AI Engineer, Prototyping	AI Frontier	9	Agent orchestration · Model serving · Inference infra
Elastic	Elastic AI Engineer	Enterprise	9	Agent orchestration · LLM observability · Tool use
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA	AI Frontier	9	Agent orchestration · Fine-tuning · Model serving · Inference infra
Mistral AI	Applied AI, Forward Deployed Machine Learning Engineer- Singapore	AI Frontier	9	Fine-tuning · Agent orchestration · Vector DB · LLM observability · Model serving

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.