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, 1,963 active AI roles across 200 companies in our index reference RAG. Hiring concentrates at the agents (84%) and application (5%) 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.
1,963 active AI roles across 200 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 (84%), application (5%).
The sectors with the most active RAG hiring are: Enterprise, Big Tech, Banking.
75 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Augury | Senior GenAI Engineer | Vertical AI | 9 | Agent orchestration · Tool use · Evals · Vector DB · Fine-tuning · Model serving · LLM observability · Multimodal |
| Augury | Experienced AI Applied Scientist | Vertical AI | 9 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems |
| Decagon | Staff Research Engineer | Vertical AI | 9 | Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals |
| Decagon | Senior Research Engineer | Vertical AI | 9 | Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals |
| Tempus AI | Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D | Vertical AI | 9 | Agent orchestration · Tool use · Multimodal · LLM observability · Fine-tuning · Model serving |
| Suki AI | Machine Learning Engineer III (NLP) | Vertical AI | 9 | LLM observability · Evals · Model serving |
| Cresta | Senior Machine Learning Engineer - Voice Experience | Vertical AI | 9 | Audio & speech · Fine-tuning · Model serving · Inference infra · Agent orchestration · Evals · LLM observability |
| Abridge | Software Engineer, GenAI | Vertical AI | 9 | Agent orchestration · Tool use · Vector DB · Model serving · LLM observability · Guardrails · Evals |
| Cresta | Staff Machine Learning Engineer | Vertical AI | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Agent research |
| Decagon | Senior Research Engineer | Vertical AI | 9 | Agent orchestration · Fine-tuning · RL post-training · LLM observability · Model serving |
| EvenUp | Staff Machine Learning Engineer - LLMs & Document AI | Vertical AI | 9 | Fine-tuning · LLM observability · Evals |
| Decagon | Senior Research Engineer | Vertical AI | 9 | Agent orchestration · Fine-tuning · Model serving · LLM observability · Evals |
| Cresta | Senior Machine Learning Engineer | Vertical AI | 9 | Agent orchestration · Evals · LLM observability · Model serving |
| Cresta | Senior Machine Learning Engineer | Vertical AI | 9 | Agent orchestration · Evals · LLM observability · Tool use · Model serving |
| Tempus AI | Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D | Vertical AI | 8 | Agent orchestration · Tool use · LLM observability · Multimodal |
| Legora | Data & Analytics Intern | Vertical AI | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB |
| Cyera | Data Scientist | Vertical AI | 8 | LLM observability · Fine-tuning · Evals |
| Augury | GenAI Engineer | Vertical AI | 8 | Agent orchestration · Tool use · Evals · LLM observability · Model serving |
| Tempus AI | Staff/Senior Machine Learning Engineer, Clinical AI | Vertical AI | 8 | LLM observability · Evals · Model serving · Inference infra · Agent orchestration · Fine-tuning |
| EvenUp | Senior/Staff Product Manager - AI Orchestration & Agentic Workflows | Vertical AI | 8 | Agent orchestration · Agent research · Tool use · Evals · LLM observability · Vector DB |
| Augury | Experienced AI Software Engineer | Vertical AI | 8 | Agent orchestration · Tool use · Evals · LLM observability |
| Cresta | Senior Forward Deployed Engineer (AI Agent) | Vertical AI | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Socure | Senior Software Engineer – Agentic AI Foundations | Vertical AI | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Agent research |
| EvenUp | Staff Machine Learning Engineer - Systems | Vertical AI | 8 | Vector DB · Fine-tuning · Model serving · Evals · Agent orchestration |
| Socure | Staff Data Scientist - RiskOS | Vertical AI | 8 | Agent orchestration · LLM observability · Fine-tuning · Inference infra · Model serving · Evals · Guardrails |
| EvenUp | Senior Machine Learning Engineer - Systems | Vertical AI | 8 | Vector DB · Fine-tuning · LLM observability · Agent orchestration · Model serving |
| Cresta | AI Language Engineer | Vertical AI | 8 | LLM observability · Fine-tuning · Model serving · Audio & speech · Evals · Agent orchestration |
| EvenUp | AI Product Manager | Vertical AI | 8 | Fine-tuning · Evals · Agent orchestration · LLM observability · Model serving |
| Cresta | Senior Forward Deployed Engineer (AI Agent) - Germany | Vertical AI | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Clay | Product Manager, Enrichment & AI | Vertical AI | 8 | Agent orchestration |