How many AI roles reference RAG right now?

2,014 active AI roles across 196 companies in our index reference RAG as of today. New postings fell 21% in the last 30 days versus the prior 30 (1105 → 874).

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. New postings fell 21% in the last 30 days versus the prior 30 (1105 → 874).

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All Engineering · 3068 Product · 343 Research · 94

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127 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Target	Lead Data Scientist- Comp Intel	Retail	9	Agent orchestration · Tool use · Vector DB · Fine-tuning · LLM observability · Guardrails · Agent research
Target	Lead Engineer - GenAI	Retail	9	Agent orchestration · Agent research · Tool use · LLM observability · Fine-tuning · Inference infra · Model serving · Synthetic data
Walmart	Senior Data Scientist: Associate AI Experience	Retail	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · LLM observability
Walmart	Principal Data Scientist: Associate AI experience	Retail	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · Multi-agent
Walmart	Distinguished Data Scientist: Associate AI Experience	Retail	9	Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · Multi-agent
Walmart	Principal, Data Scientist	Retail	9	Agent orchestration · Inference infra · Model serving · Vector DB · LLM observability · Evals · Guardrails
Walmart	(USA) Senior Manager, Data Science	Retail	9	Agent orchestration · Tool use · LLM observability
Walmart	(USA) Distinguished, Data Scientist	Retail	9	Agent orchestration · Agent research · Tool use · Evals · Vector DB · Fine-tuning · Model serving · Multimodal
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
Walmart	Staff, Data Scientist – Conversational AI	Retail	9	Agent orchestration · Tool use · Evals · Guardrails · Fine-tuning · Model serving · LLM observability
Walmart	Principal, Data Scientist -- Agentic AI	Retail	9	Agent orchestration · Tool use · LLM observability · Fine-tuning · Model serving · Agent research · Multimodal · Vision · Code gen
Walmart	Principal, Data Scientist	Retail	9	Agent orchestration · Tool use · Vector DB · Evals · Model serving · Inference infra
Walmart	(USA) Staff, Data Scientist	Retail	9	Agent orchestration · Tool use · Agent research · Evals
Target	Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)	Retail	8	Agent orchestration · LLM observability · Fine-tuning · Model serving · Agent research
Target	Lead Engineer- Advanced AI	Retail	8	Agent orchestration · Tool use · Evals · LLM observability · Model serving · Inference infra
Target	Sr. Data Scientist	Retail	8	Search & ranking · Recommender systems · Agent orchestration · Tool use · Guardrails · Fine-tuning · Model serving · Inference infra
Walmart	(USA) Senior, Software Engineer - MLE- Agentic AI & AIOps	Retail	8	Agent orchestration · LLM observability · Inference infra · Model serving
Walmart	Principal, Data Scientist	Retail	8	Agent orchestration · Vector DB · LLM observability · Model serving
Walmart	Principal, Data Scientist	Retail	8	Agent orchestration · LLM observability · Vector DB
Walmart	Senior, Data Scientist (Machine Learning Engineer)	Retail	8	Model serving · Inference infra · Multimodal · Fine-tuning · Vector DB
Nordstrom	Principal Engineer: AI Agentic Platform (Hybrid - Seattle, WA)	Retail	8	Agent orchestration · Tool use · Multi-agent · LLM observability · Vector DB
Walmart	Senior Director, Data Science & Ontology	Retail	8	Semantic search · Recommender systems · Agent orchestration · LLM observability
Target	Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs)	Retail	8	Recommender systems · Search & ranking · Vector DB · Model serving · Inference infra
Target	Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs)	Retail	8	LLM observability · Vector DB · Agent orchestration · Search & ranking · Recommender systems · Model serving
Walmart	Distinguished, Data Scientist	Retail	8	Fine-tuning · Guardrails · Vector DB · Model serving
Walmart	Senior, Software Engineer - AI Systems	Retail	8	Agent orchestration · Tool use · Evals · Guardrails · Vector DB · Inference infra · Model serving
Walmart	Software Engineer III– AI Systems	Retail	8	Agent orchestration · Tool use · Evals · Guardrails · Vector DB · Inference infra · Model serving
Target	Sr Director Data Sciences	Retail	8	Agent orchestration · Search & ranking · Recommender systems · LLM observability · Evals · Model serving
Walmart	Senior, Data Scientist	Retail	8	Multimodal · Fine-tuning · Model serving
Walmart	(USA) Principal, Software Engineer	Retail	8	Agent orchestration · LLM observability · Guardrails · Evals · Inference infra · 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. New postings fell 21% in the last 30 days versus the prior 30 (1105 → 874).
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.