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
Sierra	Software Engineer, Agent (Italian speaking)	AI Frontier	9	Agent orchestration · Evals · Model serving
Sierra	Software Engineer, Agent	AI Frontier	9	Agent orchestration · Evals · Model serving
Microsoft	Research Intern - AIP AI Knowledge Multimodal AI	Big Tech	9	Multimodal · LLM observability · Vision · Fine-tuning
Amazon	Sr. Principal Scientist, Amazon Health Science & Analytics	Big Tech	9	Frontier research · Pretraining · Multimodal · RL post-training · Reward modeling · Inference infra · Model serving · Evals
Microsoft	Research Intern - Memory & Orchestration in Large Language Models	Big Tech	9	Agent orchestration · Vector DB · LLM observability · Multimodal
Microsoft	Research Intern - Microsoft Research Special Projects	Big Tech	9	LLM observability · Interpretability · Agent research
Cohere	Forward Deployed Engineer, Prompt Specialist	AI Frontier	9	Agent orchestration · Tool use · Evals
MongoDB	Senior Research Scientist, Voyage AI	Enterprise	9	Frontier research · Pretraining · Fine-tuning · Agent research · Multimodal
Gusto	Sr. Staff AI/ML Engineer	Fintech	9	Agent orchestration · Evals · Model serving · LLM observability · Guardrails
MongoDB	Staff Research Scientist, Voyage AI	Enterprise	9	Frontier research · Agent research · Multimodal
Lila Sciences	Machine Learning Scientist I/II, Scientific Reasoning	AI Frontier	9	Agent orchestration · Tool use · Fine-tuning · Multimodal · Agent research
Sierra	Software Engineer, Agent (New Grad)	AI Frontier	9	Agent orchestration · Evals · Model serving · LLM observability
ByteDance	Senior Software Engineer - AI for Security, Data/Application	Big Tech	9	Evals · Interpretability · LLM observability
Vectara	Senior Machine Learning Engineer	Data AI	9	Agent orchestration · LLM observability · Multimodal · Fine-tuning · Evals
EvenUp	Staff Machine Learning Engineer - LLMs & Document AI	Vertical AI	9	Fine-tuning · LLM observability · Evals
Decagon	Senior Research Engineer	Vertical AI	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals
Sierra	Software Engineer, Agent (Spanish speaking)	AI Frontier	9	Agent orchestration · Model serving · Evals · LLM observability
Sierra	Software Engineer, Agent (French speaking)	AI Frontier	9	Agent orchestration · Model serving · Evals · Agent research
Sierra	Software Engineer, Agent (German speaking)	AI Frontier	9	Agent orchestration · Model serving · Evals
Scale AI	Senior Forward Deployed AI Engineer, Enterprise	Data AI	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Vector DB
Amazon	Applied Scientist, AGI Information	Big Tech	9	Multimodal · LLM observability · Frontier research
Datadog	Senior Software Engineer - AI Platform	Enterprise	9	Model serving · Inference infra · Agent orchestration
OpenAI	RE / RS - Foundations, Search	AI Frontier	9	Vector DB · Agent orchestration · Frontier research
Cresta	Senior Machine Learning Engineer	Vertical AI	9	Agent orchestration · Evals · LLM observability · Model serving
Cohere	Member of Technical Staff, Search	AI Frontier	9	Search & ranking · Recommender systems · Fine-tuning · Evals · Model serving
Amazon	Applied Scientist, AGI Information	Big Tech	9	LLM observability · Multimodal
Sierra	Software Engineer, Agent	AI Frontier	9	Agent orchestration · Evals · Model serving
Anthropic	Machine Learning Systems Engineer - Data & Evaluation, Horizons	AI Frontier	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · RL post-training
Airbnb	Senior Staff Machine Learning Engineer, Data & Eval	Consumer	9	Evals · LLM observability · Guardrails · Agent orchestration · Tool use · Fine-tuning · Synthetic data
Perplexity	Member of Technical Staff (Machine Learning Engineer, Search)	AI Frontier	9	Search & ranking · Recommender systems · Inference infra · Model serving · Evals

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.