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
NVIDIA	Senior Software Engineer, RAG and Agentic AI	Semiconductors	9	Agent orchestration · Tool use · Model serving · Inference infra · Multimodal
LangChain	Solutions Architect (London)	Data AI	9	Agent orchestration · Inference infra · Model serving · Vector DB · Evals
OpenAI	Software Engineer, Foundations Retrieval	AI Frontier	9	Vector DB · Agent orchestration · Model serving · Inference infra · LLM observability
NVIDIA	Solutions Architect, Model Builder - LATAM	Semiconductors	9	Agent orchestration · Tool use · Fine-tuning · Inference infra · Model serving · LLM observability
Sierra	Software Engineer, Agent	AI Frontier	9	Agent orchestration · Agent research · Evals · Model serving · Audio & speech
Google	Forward Deployed Engineer, GenAI, Google Cloud	Big Tech	9	Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving
Google	Forward Deployed Engineer, GenAI, Google Cloud	Big Tech	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals
Apple	Machine Learning Engineer	Big Tech	9	Evals · LLM observability · Guardrails · Fine-tuning · Model serving · Vector DB · Multimodal · RL post-training · RLHF · Reward modeling
CrowdStrike	Sr. AI Scientist - AI Detection and Response (AIDR) (Hybrid)	Enterprise	9	Fine-tuning · Agent orchestration · Evals · Model serving
GEICO	Staff Machine Learning Engineer, AI Agent Platform	Insurance	9	Agent orchestration · Tool use · Guardrails · LLM observability · Agent research · Multi-agent
Eli Lilly	Advisor - Agent Research	Pharma	9	Agent orchestration · Tool use · Model serving · Inference infra · Fine-tuning
NVIDIA	Senior Software Engineer - Agentic Memory	Semiconductors	9	Agent orchestration · Evals · Synthetic data · LLM observability · Multimodal
Mistral AI	Applied Scientist / Research Engineer (Internship)	AI Frontier	9	Pretraining · Fine-tuning · Model serving · Multimodal · Audio & speech · Agent orchestration · Evals
Mistral AI	Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore	AI Frontier	9	Fine-tuning · Agent orchestration · Model serving · Inference infra
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
Adobe	Sr Machine Learning Engineer 5 -- AEP, Agentic System	Enterprise	9	Agent orchestration · Tool use · LLM observability · Guardrails · Model serving · Inference infra
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
Perplexity	Member of Technical Staff (Machine Learning Research Engineer)	AI Frontier	9	Recommender systems · Search & ranking · Multimodal · Fine-tuning · Model serving · Frontier research
Mistral AI	Applied AI, Technical Lead - Forward Deployed AI Engineer	AI Frontier	9	Agent orchestration · Fine-tuning · LLM observability · Model serving
Mistral AI	Future AI Global leaders - Applied AI & Engineering	AI Frontier	9	Fine-tuning · Agent orchestration · Model serving
Amazon	Senior Applied Scientist, New Initiatives	Big Tech	9	Agent orchestration · Tool use · Multimodal · LLM observability
Amazon	Applied Scientist II, AFT AI, Amazon AFT AI	Big Tech	9	Agent orchestration · Multimodal · Vision · Fine-tuning · Model serving · Agent research
Tempus AI	Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D	Vertical AI	9	Agent orchestration · Tool use · Multimodal · LLM observability · Fine-tuning · Model serving
Walmart	Distinguished, Software Engineer -AI/ML Engineer- Walmart Connect	Retail	9	Agent orchestration · Tool use · Multimodal · Vector DB · Fine-tuning · Inference infra · Model serving · RL post-training · Agent research · LLM observability · Guardrails
Suki AI	Machine Learning Engineer III (NLP)	Vertical AI	9	LLM observability · Evals · 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.