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.
3044 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Forward Deployed Engineer, Generative AI, Google Cloud (Korean, English) | Big Tech | 9 | Agent orchestration · Vector DB · Model serving · LLM observability · Evals | |
| Forward Deployed Engineer, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · LLM observability · Evals | |
| Forward Deployed Engineer, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · Evals · LLM observability | |
| Gong | Head of AI Security | Enterprise | 9 | Agent orchestration · Multi-agent · LLM observability · Guardrails · Evals |
| Staff Forward Deployed Developer, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · Evals · LLM observability · Model serving | |
| Forward Deployed Development Manager, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Tool use · Model serving | |
| Forward Deployed Engineer IV, Generative AI, Google Cloud (English, Portuguese) | Big Tech | 9 | Agent orchestration · Vector DB · Inference infra · Model serving · Evals · LLM observability | |
| Forward Deployed Engineer III, Generative AI, Google Cloud (Spanish, English) | Big Tech | 9 | Agent orchestration · Vector DB · LLM observability · Evals | |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · Evals · LLM observability | |
| Partner Forward Deployed Engineering Manager III, GenAI, Google Cloud | Big Tech | 9 | Agent orchestration · Agent research · LLM observability · Tool use | |
| Forward Deployed Engineer, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · Evals · LLM observability | |
| Oracle | Principal Applied Scientist | Enterprise | 9 | Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability · Guardrails |
| Forward Deployed Engineer III, Gen AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · LLM observability · Evals · Model serving | |
| NVIDIA | Senior AI Safety Red Teamer | Semiconductors | 9 | Evals · Guardrails · Agent research · LLM observability |
| Verizon | Princ Engr-AI Science | Telecom | 9 | Agent orchestration · Multi-agent · Tool use · Fine-tuning · Vector DB · LLM observability |
| Forward Deployed Engineer IV, GenAI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · LLM observability · Model serving · Evals | |
| Forward Deployed Engineer I, GenAI, Google Cloud | Big Tech | 9 | Agent orchestration · Tool use · Vector DB · LLM observability · Model serving | |
| GE Healthcare | Senior Staff AI Scientist | Healthcare | 9 | Agent orchestration · Fine-tuning · Multimodal · Interpretability · Evals |
| Mixpanel | Senior Software Engineer, AI Platform | Data AI | 9 | Agent orchestration · Evals · Model serving · Inference infra · LLM observability |
| Apple | Machine Learning Engineer | Big Tech | 9 | Agent orchestration · Tool use · Evals · Guardrails · Vector DB · Fine-tuning · Inference infra · Model serving · LLM observability |
| Forward Deployed Engineer III, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · Evals · LLM observability · Model serving | |
| Amplitude | Staff AI Engineer | Data AI | 9 | Agent orchestration · Tool use · Evals · LLM observability · Model serving |
| Adobe | Machine Learning Engineer 5 | Enterprise | 9 | Agent orchestration · Fine-tuning · RL post-training · Evals · Model serving |
| Adobe | Machine Learning Engineer 5 | Enterprise | 9 | Agent orchestration · Fine-tuning · RL post-training · Evals · Model serving |
| Adobe | Principal Scientist - Agentic Product | Enterprise | 9 | Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · LLM observability |
| Forward Deployed Engineer II, Generative AI, Google Cloud | Big Tech | 9 | Agent orchestration · Vector DB · Model serving · Inference infra · LLM observability | |
| Apple | Senior Applied Researcher | Big Tech | 9 | Fine-tuning · Evals · Guardrails · Agent orchestration · RLHF · Multimodal |
| Senior Software Engineer, Applied AI, Commerce | Big Tech | 9 | Agent orchestration · Multimodal · Evals · LLM observability · Tool use · Model serving | |
| Snowflake | Senior Engineering Manager - AI Forward Deployed Engineering for EMEA | Data AI | 9 | Agent orchestration · Fine-tuning · Evals · Guardrails · LLM observability · Model serving |
| Expedia | Senior Machine Learning Scientist - Agentic Experience | Hospitality | 9 | Agent orchestration · Tool use · Evals · LLM observability |