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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40 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Verizon	Princ Engr-AI Science	Telecom	9	Agent orchestration · Multi-agent · Tool use · Fine-tuning · Vector DB · LLM observability
Verizon	Dist Engr-AI/ML Engineering	Telecom	9	Agent orchestration · Tool use · Guardrails · LLM observability · Agent research
Verizon	Engr III Cslt-AI Science	Telecom	8	Agent orchestration · Vector DB · Fine-tuning · Model serving · Inference infra · LLM observability
Verizon	Princ Engr-AI Science	Telecom	8	Agent orchestration · Vector DB · Fine-tuning · Model serving · Inference infra · LLM observability · Multimodal
Verizon	Sr Engr Cslt-Data Science	Telecom	8	Agent orchestration · Tool use · LLM observability · Fine-tuning · Model serving
T-Mobile	Sr AI Engineer	Telecom	8	Agent orchestration · Tool use · Fine-tuning · Agent research · LLM observability
Verizon	Senior Data Scientist	Telecom	8	Agent orchestration · Vector DB · Fine-tuning · Model serving
Verizon	Principal Data Scientist	Telecom	8	Agent orchestration · LLM observability · Fine-tuning · Model serving · Recommender systems · Search & ranking
Verizon	Sr Engr Cslt-AI Science	Telecom	8	Agent orchestration · Agent research · Fine-tuning · Inference infra · Model serving · LLM observability
Verizon	Princ Engr-Technology Strategy	Telecom	8	Agent orchestration · RLHF · LLM observability
Verizon	Sr Engr Cslt-Tech Strategy	Telecom	8	Agent orchestration · RLHF · LLM observability
T-Mobile	Sr Engineer, Machine Learning Engineering	Telecom	8	Agent orchestration · Fine-tuning · Model serving · LLM observability · Multimodal · Evals
AT&T	Senior Data/AI Engineering	Telecom	8	Vector DB · Agent orchestration · LLM observability · Model serving · Audio & speech
T-Mobile	Sr. AI Engineer	Telecom	8	Agent orchestration · Tool use · Fine-tuning · LLM observability · Evals · Guardrails
Verizon	Senior Engineering Consultant-Cloud & AI	Telecom	8	Agent orchestration · Tool use · LLM observability · Model serving · Inference infra
AT&T	Lead Cybersecurity - Application Security Architect – AI Models, Frameworks & Implementation	Telecom	8	Agent orchestration · LLM observability · Guardrails · Model serving
T-Mobile	Principal GenAI Software Engineer	Telecom	8	Agent orchestration · Guardrails · LLM observability · Model serving
AT&T	AI Automation Engineer-SRE Focus (Early Career)	Telecom	8	Agent orchestration · Agent research · LLM observability
AT&T	Principal AI - Software Engineer	Telecom	8	Agent orchestration · Vector DB · LLM observability · Evals
T-Mobile	Associate AI Engineer	Telecom	7	Agent orchestration · Fine-tuning · Tool use · LLM observability
AT&T	Principal AI-Native Software Engineer	Telecom	7	Agent orchestration · LLM observability · Vector DB · Agent research
Verizon	Engineer Full Stack - AI	Telecom	7	Fine-tuning · Agent orchestration · LLM observability
Verizon	Principal Data Scientist	Telecom	7	Agent orchestration · LLM observability
Verizon	Associate Director, Data Science	Telecom	7	Agent orchestration · LLM observability
Verizon	Data and AI Engineer	Telecom	7	LLM observability · Fine-tuning
AT&T	Lead Software Engineer	Telecom	7	LLM observability · Model serving
Verizon	AI Go To Market Leader	Telecom	7	Agent orchestration · LLM observability · Model serving · Guardrails
Verizon	Director of Digital Customer Experience & AI Innovation	Telecom	7	LLM observability · Agent orchestration · Guardrails · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Interpretability · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI
T-Mobile	Sr Engineer, Enterprise AI	Telecom	7	Agent orchestration · LLM observability · Model serving · Vector DB
AT&T	Principal Solution Architect	Telecom	7	Agent orchestration · Tool use

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.