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.
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.
87 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Mistral AI | Applied Scientist / Research Engineer - EMEA | AI Frontier | 10 | Pretraining · Fine-tuning · Model serving · Inference infra · Agent orchestration · Multimodal · Vision · Audio & speech |
| Staff Software Engineer, AAI Research | Big Tech | 9 | Agent orchestration · Agent research · Tool use · Evals · Fine-tuning | |
| NVIDIA | Senior Data Scientist - Security and Networking Research | Semiconductors | 9 | Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Inference infra · Multimodal · Synthetic data |
| MongoDB | Staff Research Scientist | Enterprise | 9 | Frontier research · Pretraining · Agent research · Multimodal |
| GE Healthcare | Senior Staff AI Scientist | Healthcare | 9 | Agent orchestration · Fine-tuning · Multimodal · Interpretability · Evals |
| Apple | Senior Applied Researcher | Big Tech | 9 | Fine-tuning · Evals · Guardrails · Agent orchestration · RLHF · Multimodal |
| Microsoft | Principal Applied Researcher | Big Tech | 9 | Code gen · Evals · Fine-tuning · Model serving |
| NVIDIA | Senior Research Scientist | Semiconductors | 9 | Frontier research · Pretraining · Agent research |
| GE Healthcare | Staff AI Scientist | Healthcare | 9 | Agent orchestration · Fine-tuning · Model serving · Multimodal · Evals · Guardrails |
| Research Scientist, Gemini Retrieval and Agera, DeepMind | Big Tech | 9 | Agent research · Agent orchestration · Multimodal · Frontier research · LLM observability · Evals · Fine-tuning | |
| GE Healthcare | Staff AI Scienitist | Healthcare | 9 | Agent orchestration · Tool use · Fine-tuning · LLM observability · Guardrails · Evals · Multimodal · Agent research · Frontier research · Model serving |
| GE Healthcare | Staff AI Scientist | Healthcare | 9 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Agent research · Multimodal |
| Amazon | Applied Scientist - Agentic AI, Amazon Fulfillment Technology | Big Tech | 9 | Agent orchestration · Tool use · Fine-tuning · RL post-training · Evals · LLM observability · Vector DB · Agent research |
| Booking | Senior Machine Learning Scientist | Hospitality | 9 | Agent orchestration · Agent research · LLM observability · Evals · Tool use |
| NVIDIA | Developer Relations Manager, Higher Education and Research - AI Agents | Semiconductors | 9 | Agent orchestration · Agent research · Tool use · Evals · LLM observability · Multimodal · Embodied AI |
| Amazon | Sr. Applied Scientist, Enterprise Security Products | Big Tech | 9 | Agent orchestration |
| Anthropic | Research Engineer, Search and Knowledge Post-Training | AI Frontier | 9 | RL post-training · Evals · Search & ranking · Agent research · Frontier research · LLM observability |
| Microsoft | Principal Applied Scientist | Big Tech | 9 | Agent orchestration · Agent research · Tool use · LLM observability · Vector DB · Fine-tuning |
| Capital One | Principal Associate, Data Science - AI Foundations | Banking | 9 | Fine-tuning · Inference infra · Model serving · Agent orchestration · Vector DB · LLM observability |
| Meta | AI Research Scientist — Agentic AI for Materials Discovery | Big Tech | 9 | Agent orchestration · Agent research |
| Mistral AI | Applied Scientist / Research Engineer - Singapore | AI Frontier | 9 | Pretraining · Fine-tuning · Model serving · Agent orchestration · Multimodal · Vision · Audio & speech |
| NVIDIA | Senior Applied Researcher, AI Agentic Systems | Semiconductors | 9 | Agent orchestration · Tool use · LLM observability · Evals |
| CrowdStrike | Sr. AI Scientist - AI Detection and Response (AIDR) (Hybrid) | Enterprise | 9 | Fine-tuning · Agent orchestration · Evals · Model serving |
| Eli Lilly | Advisor - Agent Research | Pharma | 9 | Agent orchestration · Tool use · Model serving · Inference infra · Fine-tuning |
| Mistral AI | Applied Scientist / Research Engineer (Internship) | AI Frontier | 9 | Pretraining · Fine-tuning · Model serving · Multimodal · Audio & speech · Agent orchestration · Evals |
| Perplexity | Member of Technical Staff (Machine Learning Research Engineer) | AI Frontier | 9 | Recommender systems · Search & ranking · Multimodal · Fine-tuning · Model serving · Frontier research |
| 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 |
| Amazon | Sr. Applied Scientist, Ads AI Core Infrastructure | Big Tech | 9 | Agent orchestration · LLM observability · Evals · Code gen |
| Axon | Senior Agentic AI Research Scientist | Enterprise | 9 | Agent orchestration · Multimodal · Vision · Vector DB · Inference infra · Model serving · Agent research |
| Amazon | Applied Scientist II, Ads AI Core Infrastructure | Big Tech | 9 | Agent orchestration · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · LLM observability |