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, 2,037 active AI roles across 199 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (4%) stages. Most common sectors: 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.
2,037 active AI roles across 199 companies in our index reference RAG as of today.
The companies with the most active RAG listings are: Amazon (167 roles), JPMorgan Chase (146 roles), Google (78 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.
3504 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Visa | Lead AI Engineer (Business Intelligence) | Fintech | 8 | LLM observability · Agent orchestration · Fine-tuning · Model serving |
| Walmart | (USA) Principal, Software Engineer | Retail | 8 | Agent orchestration · LLM observability · Guardrails · Evals · Inference infra · Model serving |
| Deloitte | AI Engineer Consultant | Consulting | 8 | Vector DB · Fine-tuning · Model serving · Inference infra · Guardrails · LLM observability · Tool use |
| Forward Deployed Engineer, GenAI, Google Cloud | Big Tech | 8 | Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving | |
| JPMorgan Chase | Executive Director Principal Software Engineer - Agentic Engineering | Banking | 8 | Agent orchestration · Tool use · Evals · LLM observability · Vector DB |
| ServiceNow | Forward Deployed Solution Engineer- Applied AI | Enterprise | 8 | Agent orchestration · Vector DB · Fine-tuning · Model serving · LLM observability |
| DocuSign | Sr. AI GTM Engineer | Enterprise | 8 | Agent orchestration · Agent research · LLM observability · Fine-tuning · Model serving |
| Lattice | Senior Software Engineer, AI | Enterprise | 8 | Evals · Agent orchestration · LLM observability · Model serving |
| Anthropic | Applied AI Architect, Startups | AI Frontier | 8 | LLM observability · Evals · Fine-tuning · Model serving |
| LangChain | Solutions Architect (Remote) | Data AI | 8 | Agent orchestration · Model serving · Inference infra · Vector DB · Evals |
| NVIDIA | Applied AI Engineer - DFT Methodology | Semiconductors | 8 | Agent orchestration · LLM observability |
| Forward Deployed Architect, Generative AI, Google Cloud | Big Tech | 8 | Agent orchestration · Vector DB · Inference infra · Model serving · Evals · LLM observability · Fine-tuning · Multimodal | |
| Senior Staff ML Engineer, Search & Recommendation | Consumer | 8 | Recommender systems · Search & ranking · Model serving · Inference infra · LLM observability · Fine-tuning | |
| Amazon | Sr. Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE) | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Agent research |
| Amazon | Applied Scientist, Customer360 | Big Tech | 8 | Recommender systems · Search & ranking · LLM observability · Frontier research |
| NVIDIA | Solutions Architect – OEM AI | Semiconductors | 8 | Agent orchestration |
| Capital One | Principal Associate, Data Scientist - LLM Customization Team | Banking | 8 | Fine-tuning · Model serving · Vector DB |
| Visa | Client Consulting Analyst | Fintech | 8 | Agent orchestration · Guardrails · Fine-tuning · Evals |
| Warner Bros Discovery | Sr. Staff, Data Science & Applied AI | Media | 8 | Agent orchestration · Evals · Guardrails · LLM observability · Model serving |
| NVIDIA | Senior Staff Software Engineer - Agentic Automation | Semiconductors | 8 | Agent orchestration · Tool use · LLM observability |
| Microsoft | Principal Product Management | Big Tech | 8 | Agent orchestration · Evals · LLM observability |
| SoFi | Director, AI Platforms | Fintech | 8 | Model serving · Inference infra · Agent orchestration · Evals · LLM observability · Guardrails |
| Plaid | Senior Software Engineer - AI Applications | Fintech | 8 | Agent orchestration · Vector DB · Fine-tuning · LLM observability · Model serving |
| Cribl | Staff AI Security Engineer | Enterprise | 8 | Guardrails · Agent orchestration · Tool use · LLM observability |
| Forward Deployed EngineerⅡ, GenAI, Google Cloud (Japanese, English) | Big Tech | 8 | Agent orchestration · Fine-tuning · LLM observability · Evals · Model serving | |
| Wix | Machine Learning Engineer | Enterprise | 8 | Agent orchestration · Tool use · Evals |
| Forward Deployed Engineer I, Generative AI, Google Cloud (Japanese, English) | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Model serving | |
| Staff Software Engineer, Generative AI, Data Analytics | Big Tech | 8 | Agent orchestration · LLM observability · Vector DB | |
| Sierra | Software Engineer, Agent (Cantonese Speaking) | AI Frontier | 8 | Agent orchestration · Evals · Model serving |
| Sierra | Software Engineer, Agent (Korean Speaking) | AI Frontier | 8 | Agent orchestration · Model serving · Evals · LLM observability |