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.
2,073 active AI roles across 201 companies in our index reference RAG as of today.
The companies with the most active RAG listings are: Amazon (170 roles), JPMorgan Chase (150 roles), Adobe (78 roles), Google (78 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.
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, 2,073 active AI roles across 201 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (4%) stages. Most common sectors: Enterprise, Big Tech, Banking.
3483 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Cohere | Member of Technical Staff, MLE (UK/EU) | AI Frontier | 8 | Agent orchestration · Model serving · Fine-tuning |
| Uber | Sr. Staff Engineer (Conversational/Voice AI) | Consumer | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Audio & speech · Model serving · Multimodal |
| Peloton | Staff Enterprise AI Engineer | Consumer | 8 | Agent orchestration · Vector DB · Model serving · Inference infra |
| Deloitte | Agentic AI, AI & Data Manager | Consulting | 8 | Agent orchestration · Tool use · Agent research · Vector DB · LLM observability · Guardrails · Model serving |
| Apple | AI Data Scientist | Big Tech | 8 | Evals · LLM observability · Fine-tuning · Multimodal |
| Moveworks | MLE Manager, GAI Search Relevance - JB0070741 | Enterprise | 8 | Search & ranking · Recommender systems · LLM observability · Agent orchestration |
| JPMorgan Chase | Asset Management - AI Engineer - Associate/VP | Banking | 8 | Agent orchestration · Fine-tuning · Model serving · LLM observability |
| LangChain | Fullstack Software Engineer, Applied AI | Data AI | 8 | Agent orchestration · Evals · LLM observability · Model serving |
| Capital One | Principal Data Scientist, AI Foundations | Banking | 8 | Fine-tuning · LLM observability · Vector DB · Model serving |
| Bank of America | Senior Engineer-AI Inference | Banking | 8 | Inference infra · Model serving · LLM observability · Evals |
| ByteDance | Senior Software Engineer, AI Infrastructure - Developer Tooling | Big Tech | 8 | Vector DB · Agent orchestration · Tool use · Evals · Code gen |
| Capital One | Senior Manager, Data Science - AI Foundations | Banking | 8 | Fine-tuning · Model serving · Vector DB |
| ByteDance | Senior Software Engineer / Researcher, AI-Native database systems | Big Tech | 8 | Vector DB · Agent orchestration · LLM observability · Model serving · Inference infra · Multimodal |
| Glean | Product Design Lead, AI Products | Enterprise | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Okta | Senior Manager, AI Engineering | Enterprise | 8 | Agent orchestration · Vector DB · LLM observability · Guardrails |
| Airbnb | Senior Software Engineer, BizTech | Consumer | 8 | Agent orchestration · Fine-tuning · Model serving · LLM observability · Tool use |
| Perplexity | Member of Technical Staff (Forward Deployed Engineer, Applied AI) | AI Frontier | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Senior Machine Learning Engineer | Consumer | 8 | Recommender systems · Search & ranking · Model serving · Inference infra | |
| Senior Machine Learning Engineer | Consumer | 8 | Recommender systems · Search & ranking · Model serving · Inference infra · Fine-tuning · LLM observability · Evals | |
| Machine Learning Engineer | Consumer | 8 | Recommender systems · Search & ranking · Model serving · Inference infra · Fine-tuning · LLM observability · Evals | |
| Machine Learning Engineer | Consumer | 8 | Recommender systems · Search & ranking · Model serving · Inference infra · Fine-tuning · LLM observability · Agent orchestration · Evals | |
| Databricks | AI Engineer - FDE (Forward Deployed Engineer) | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| Uber | Staff Machine Learning Engineer - Applied AI | Consumer | 8 | Recommender systems · Search & ranking · Vector DB · Fine-tuning |
| Cresta | Senior Forward Deployed Engineer (AI Agent) | Vertical AI | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| NVIDIA | Senior AI Storage Software Architect | Semiconductors | 8 | Inference infra · Model serving |
| ByteDance | Software Engineer / Researcher, AI-Native database systems | Big Tech | 8 | Agent orchestration · Vector DB · Model serving · Inference infra · Multimodal |
| ByteDance | Senior Software Engineer / Researcher, AI-Native database systems | Big Tech | 8 | Agent orchestration · Vector DB · LLM observability · Model serving · Inference infra · Multimodal |
| ByteDance | Software Engineer/Researcher, AI-Native Database Systems | Big Tech | 8 | Agent orchestration · Vector DB · LLM observability · Model serving · Inference infra |
| Suki AI | Staff Machine Learning Engineer | Vertical AI | 8 | LLM observability · Evals · Model serving · Inference infra · Agent orchestration |
| Databricks | Staff Software Engineer (Search Ranking) | Data AI | 8 | Search & ranking · Recommender systems · Evals · LLM observability |