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.

← Tag co-occurrence network

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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269 AI roles tagged rag.

Company	Title	Sector	AI score	Other tags
Snowflake	Post-Doctoral Researcher (Fixed-Term)	Data AI	9	Frontier research · Fine-tuning · Evals · Interpretability · Multimodal
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability
ClickHouse	AI Product Engineer - ClickStack	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
Mixpanel	Senior Software Engineer, AI Platform	Data AI	9	Agent orchestration · Evals · Model serving · Inference infra · LLM observability
Amplitude	Staff AI Engineer	Data AI	9	Agent orchestration · Tool use · Evals · LLM observability · Model serving
Snowflake	Senior Engineering Manager - AI Forward Deployed Engineering for EMEA	Data AI	9	Agent orchestration · Fine-tuning · Evals · Guardrails · LLM observability · Model serving
Scale AI	Senior Staff Forward Deployed AI Engineer, Enterprise	Data AI	9	Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability
Scale AI	Staff Forward Deployed AI Engineer, Enterprise	Data AI	9	Agent orchestration · Tool use · Fine-tuning · Model serving
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Databricks	Senior Staff Applied AI Engineer - Context Retrieval	Data AI	9	Agent orchestration · Evals · Search & ranking · Model serving
Databricks	AI Engineer - FDE (Forward Deployed Engineer) - Public Sector	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
LangChain	Solutions Architect (London)	Data AI	9	Agent orchestration · Inference infra · Model serving · Vector DB · Evals
Grafana Labs	Staff AI Engineer \| US \| Remote	Data AI	9	Agent orchestration · Tool use · LLM observability · Evals · Guardrails
Snowflake	AI Engineer - Cortex Code Quality	Data AI	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Code gen
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Snowflake	Principal Software Engineer - Snowflake Intelligence	Data AI	9	Agent orchestration · Tool use · Evals · Guardrails · LLM observability
Scale AI	Forward Deployed AI Engineering Manager, Enterprise	Data AI	9	Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability
Grafana Labs	Staff AI Engineer United States \|Remote	Data AI	9	Agent orchestration · Multi-agent · LLM observability · Tool use
Databricks	AI Engineer - FDE (Forward Deployed Engineer)	Data AI	9	Agent orchestration · Fine-tuning · Model serving · Evals
Vectara	Senior Machine Learning Engineer	Data AI	9	Agent orchestration · LLM observability · Multimodal · Fine-tuning · Evals
Scale AI	Senior Forward Deployed AI Engineer, Enterprise	Data AI	9	Agent orchestration · Fine-tuning · Model serving · LLM observability · Vector DB
Vectara	Machine Learning (ML) Engineer	Data AI	9	Agent orchestration · Fine-tuning · Multimodal · Model serving · Evals
Databricks	Staff GenAI Research Scientist - Retrieval	Data AI	9	Agent orchestration · Vector DB · LLM observability
Databricks	PhD GenAI Research Scientist Intern	Data AI	9	Frontier research · Fine-tuning · Synthetic data · Inference infra · Evals
Grafana Labs	Senior AI Engineer \| Canada \| Remote	Data AI	8	Agent orchestration · Tool use · LLM observability · Model serving
Grafana Labs	Senior AI Engineer \| US \| Remote	Data AI	8	Agent orchestration · Tool use · LLM observability · Model serving
Databricks	Specialist Solutions Architect - AI/ML	Data AI	8	Agent orchestration · Tool use · Guardrails · Vector DB · Evals · LLM observability · Model serving · Inference infra

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.