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.
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).
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).
RAG primarily belongs to the agents and application stages of the AI lifecycle. In current hiring, RAG roles concentrate at: agents (85%), application (4%).
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.
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).
54 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Honeywell | Lead AI Engr | Industrial | 9 | Agent orchestration · Agent research · Fine-tuning · Inference infra · Model serving · Vector DB · Multimodal · Guardrails · LLM observability |
| Cognite | Applied AI Engineer | Industrial | 8 | Agent orchestration · Tool use · Vector DB · LLM observability |
| Cognite | Principal ML Engineer | Industrial | 8 | Model serving · Inference infra · Vision · Agent orchestration · Multimodal |
| Cognite | Senior Machine Learning Engineer | Industrial | 8 | Vision · Multimodal · Model serving · Inference infra · Vector DB · Fine-tuning · LLM observability · Agent orchestration |
| Honeywell | Sr IT Engineer | Industrial | 8 | Agent orchestration · Agent research · LLM observability · Model serving |
| Cognite | Principal Field Engineer | Industrial | 8 | Agent orchestration |
| Honeywell | Software Engr II | Industrial | 8 | Agent orchestration · Inference infra · Model serving · LLM observability |
| Caterpillar | Lead Data Scientist - Gen AI & Digital Twin | Industrial | 8 | Fine-tuning · Inference infra · Model serving |
| Honeywell | Sr. Director Data & AI Platforms | Industrial | 8 | Agent orchestration · Inference infra · Model serving · Vector DB · Guardrails |
| Honeywell | Principal AI Engr | Industrial | 8 | Fine-tuning · Vector DB · Model serving |
| Honeywell | Sr Advanced AI Platform Engineer | Industrial | 8 | Agent orchestration · Model serving · Inference infra · LLM observability |
| John Deere | Part-Time Student - Software Engineer - Moline, IL | Industrial | 8 | Agent orchestration · Tool use · Vector DB · Multimodal · LLM observability |
| Honeywell | Advanced AI Engineer | Industrial | 8 | Agent orchestration · Agent research · LLM observability · Model serving · Inference infra · Fine-tuning |
| Cognite | Applied AI Engineer (Fullstack), AI Co-Innovation | Industrial | 8 | Agent orchestration · Tool use · Vector DB · LLM observability |
| Honeywell | Sr. Advanced AI Software Engineer | Industrial | 8 | Agent orchestration · Vector DB · Fine-tuning · Model serving |
| Honeywell | Sr Advanced Software Engr | Industrial | 8 | Model serving · Inference infra |
| Honeywell | Software Engr II | Industrial | 8 | Agent orchestration · Inference infra · Model serving · LLM observability |
| Cognite | Machine Learning Engineer | Industrial | 7 | Fine-tuning · Model serving · Inference infra · Vector DB · Agent orchestration |
| Caterpillar | Senior Data Scientist | Industrial | 7 | Synthetic data · Agent orchestration · Multimodal |
| Caterpillar | Analyst Applications – ServiceNow Conversational & GenAI | Industrial | 7 | Agent orchestration · LLM observability · Guardrails · Fine-tuning · Model serving · Evals |
| Caterpillar | Senior Manager, Internal Enterprise Analytics & AI Experience Gateway | Industrial | 7 | Model serving · Inference infra · Agent orchestration · Tool use · LLM observability |
| Caterpillar | Senior Analytics Manager - AI Model & Prompt Engineering | Industrial | 7 | Agent orchestration · Tool use · Evals · Guardrails · Vector DB · Fine-tuning · Model serving · Multimodal · Agent research |
| Caterpillar | Agentic AI / AI Ops Engineer – Platform Engineering | Industrial | 7 | Agent orchestration · Tool use · LLM observability · Inference infra · Model serving |
| Caterpillar | Principal Digital Architect | Industrial | 7 | Agent orchestration · Model serving · Inference infra |
| John Deere | Senior AI Engineer - Indaiatuba/SP | Industrial | 7 | Agent orchestration · LLM observability · Model serving · Fine-tuning |
| Caterpillar | Embedded Software Senior Engineering Specialist - AI | Industrial | 7 | Agent orchestration · LLM observability |
| Honeywell | Sr Software Eng Manager | Industrial | 7 | Model serving · Vector DB |
| Caterpillar | Lead Software Engineer, Gen AI | Industrial | 7 | Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability |
| Honeywell | Lead Data Engineer | Industrial | 7 | Vector DB |
| Honeywell | Software Engr II | Industrial | 7 | Vector DB · LLM observability · Model serving |