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 |
|---|---|---|---|---|
| JPMorgan Chase | Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate | Banking | 8 | Agent orchestration · Tool use · Evals · Fine-tuning · LLM observability |
| Gusto | Staff Software Engineer, AI Developer Tools | Fintech | 8 | Agent orchestration · LLM observability · Guardrails · Fine-tuning · Model serving |
| Microsoft | Senior Software Engineer | Big Tech | 8 | Agent orchestration · LLM observability · Vector DB |
| JPMorgan Chase | Applied AI ML Lead- Agentic AI & Python | Banking | 8 | Agent orchestration · LLM observability · Guardrails · Fine-tuning · Model serving |
| Honeywell | Software Engr II | Industrial | 8 | Agent orchestration · Inference infra · Model serving · LLM observability |
| Anthropic | Applied AI Engineer | AI Frontier | 8 | Agent orchestration · Evals · Fine-tuning · Model serving |
| Workday | Director of Machine Learning Engineering - Agent Factory | Enterprise | 8 | Agent orchestration · LLM observability · Guardrails |
| GEICO | Distinguished Machine Learning Engineer | Insurance | 8 | Agent orchestration · LLM observability · Evals |
| GEICO | Staff Machine Learning Engineer | Insurance | 8 | Agent orchestration · Agent research · LLM observability · Fine-tuning · Model serving · Inference infra |
| Adobe | Machine Learning Engineer | Enterprise | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Agent research |
| Oracle | Senior Principal Applied Scientist (OCI/GEN AI) | Enterprise | 8 | Agent orchestration · LLM observability · Fine-tuning · Model serving · Multimodal · Agent research |
| JPMorgan Chase | Senior Quant Analytics Associate - Fraud Risk | Banking | 8 | Agent orchestration · Vector DB · Fine-tuning · LLM observability · Evals |
| JPMorgan Chase | Risk Management - Gen AI Lead Data Scientist | Banking | 8 | Agent orchestration · LLM observability · Tool use · Guardrails |
| Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud | Big Tech | 8 | Agent orchestration · Tool use | |
| Forward Deployed Engineering Manager, Generative AI, Public Sector and Education, Google Cloud | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Model serving | |
| Instacart | Senior Engineering Manager, Search | Consumer | 8 | Search & ranking · Recommender systems · LLM observability · Model serving · Inference infra · Vector DB |
| AI Research Software Engineer, Code Search | Big Tech | 8 | Agent orchestration · LLM observability · Model serving · Search & ranking · Code gen | |
| Software Engineer, ML Quality, Google Labs | Big Tech | 8 | Agent orchestration · Evals · LLM observability · Fine-tuning | |
| Databricks | AI Engineer - FDE (Forward Deployed Engineer) | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| PayPal | Lead Product Manager | Fintech | 8 | Agent orchestration · Vector DB · Fine-tuning · Model serving · LLM observability · Guardrails |
| Amazon | Senior Deep Learning Architect, Generative AI Innovation Center | Big Tech | 8 | Model serving · Fine-tuning · RLHF |
| Amazon | Applied Scientist II, Visual Search Science | Big Tech | 8 | Multimodal · Vision · Model serving · Inference infra · Evals · Guardrails · Recommender systems · Search & ranking |
| Pfizer | Director, AI Solutions Expert—Agent Developer, AIA | Pharma | 8 | Agent orchestration · Vector DB · LLM observability · Model serving |
| Workday | Senior Software Engineer (Gen AI) | Enterprise | 8 | Agent orchestration · LLM observability |
| Caterpillar | Lead Data Scientist - Gen AI & Digital Twin | Industrial | 8 | Fine-tuning · Inference infra · Model serving |
| GE Healthcare | Principal AI Architect | Healthcare | 8 | Model serving · Inference infra · Vector DB · Fine-tuning · Agent orchestration · LLM observability |
| Tempus AI | Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D | Vertical AI | 8 | Agent orchestration · Tool use · LLM observability · Multimodal |
| OutSystems | Principal Forward Deployed Engineer | Enterprise | 8 | Agent orchestration · LLM observability · Guardrails |
| Writer | Software engineer, generative AI (UK) | AI Frontier | 8 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving |
| Writer | Software engineer, generative AI | AI Frontier | 8 | Agent orchestration · Vector DB · Inference infra · Model serving |