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.
1,958 active AI roles across 201 companies in our index reference RAG as of today.
The companies with the most active RAG listings are: JPMorgan Chase (149 roles), Amazon (147 roles), Adobe (76 roles), Google (67 roles), Walmart (64 roles).
RAG primarily belongs to the agents and application stages of the AI lifecycle. In current hiring, RAG roles concentrate at: agents (85%), application (5%).
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.
3085 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Harvey | Group Product Manager, Knowledge Platform | AI Frontier | 5 | Agent orchestration · Vector DB |
| Spotify | Fullstack Engineer II - Conversational Analytic | Consumer | 5 | Agent orchestration · LLM observability · Model serving |
| MongoDB | Senior Product Manager | Enterprise | 5 | Agent orchestration · Evals · LLM observability |
| Amazon | Software Development Manager, Alexa Daily Essentials | Big Tech | 5 | Model serving |
| Deloitte | Agentic Delivery Engineer | Consulting | 5 | Agent orchestration · LLM observability · Model serving |
| Salesforce | Solutions Product Manager, Agentforce for Financial Services | Enterprise | 5 | Agent orchestration · Tool use · LLM observability |
| JPMorgan Chase | Product Manager - Marketing Automation Platforms | Banking | 5 | Agent orchestration · Evals · LLM observability · Fine-tuning · Model serving |
| Samsara | Data Engineer II | Enterprise | 5 | Vector DB |
| JPMorgan Chase | Risk Management - Wholesale Credit Risk - Product - Vice President | Banking | 5 | LLM observability · Agent orchestration |
| SoFi | Senior Manager, Data Engineering | Fintech | 5 | Evals · LLM observability |
| Amazon | Solutions Architect - NPO, WWPS SA - NPO | Big Tech | 5 | LLM observability · Vector DB · Model serving |
| Expedia | Globalization Platform Lead | Hospitality | 5 | Agent orchestration · Tool use · Fine-tuning · Model serving |
| Walmart | Software Engineer III | Retail | 5 | LLM observability · Vector DB · Fine-tuning · Model serving |
| Eli Lilly | Advisor - Data Architect, Data Foundry | Pharma | 5 | Vector DB |
| Autodesk | AI & Automation Specialist | Enterprise | 5 | Agent orchestration |
| F5 | Architect - Data Platform and Engineering | Enterprise | 5 | Vector DB |
| JPMorgan Chase | Asset Management- Lead Software Engineer, Vice President | Banking | 5 | Vector DB |
| Microsoft | Azure Apps and AI Solution Engineer | Big Tech | 5 | Agent orchestration · Model serving · Inference infra |
| Cribl | Senior Data Scientist | Enterprise | 5 | LLM observability |
| JPMorgan Chase | Lead Software Engineer | Banking | 5 | Agent orchestration |
| JPMorgan Chase | Lead Software Engineer | Banking | 5 | Agent orchestration · Model serving · Inference infra |
| Expedia | Principal Software Development Engineer | Hospitality | 5 | Recommender systems · Search & ranking · Vector DB · Model serving · Inference infra |
| NVIDIA | Senior Staff Software Engineer | Semiconductors | 5 | Inference infra · Model serving · Vector DB |
| Autodesk | Senior Manager, Architecture | Enterprise | 5 | Semantic search · LLM observability |
| Salesforce | Senior/Lead Full Stack Engineer, Backend Oriented | Enterprise | 5 | Agent orchestration · LLM observability |
| Bank of America | Feature Lead - Technology - GenAI Platform | Banking | 5 | Agent orchestration |
| Bank of America | Feature Lead - GenAI Team | Banking | 5 | Agent orchestration |
| Walmart | Senior, Software Engineer - Full Stack | Retail | 5 | Agent orchestration · LLM observability · Model serving |
| Databricks | Global GTM Strategy and Scale Architect | Data AI | 5 | Agent orchestration · Agent research |
| ClickUp | Senior Technical Account Manager, Professional Services | Enterprise | 5 | Agent orchestration · Tool use |
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, 1,958 active AI roles across 201 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (5%) stages. Most common sectors: Enterprise, Big Tech, Banking.