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, 2,014 active AI roles across 196 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.
2,014 active AI roles across 196 companies in our index reference RAG as of today.
The companies with the most active RAG listings are: Amazon (164 roles), JPMorgan Chase (144 roles), Google (77 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.
3505 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Microsoft | Sr Software Engineer | Big Tech | 8 | Agent orchestration · Tool use · Evals · LLM observability · Guardrails · Agent research |
| Apple | Senior Software Engineer - Generative AI & ML, Customer Systems | Big Tech | 8 | Agent orchestration · Fine-tuning · Vector DB · Evals · Multimodal · Model serving |
| JPMorgan Chase | Applied AI ML Engineer | Banking | 8 | Agent orchestration · LLM observability · Model serving |
| Forward Deployed Engineering Manager, GenAI, Delta, Google Cloud | Big Tech | 8 | Agent orchestration · Tool use | |
| JPMorgan Chase | Applied AI ML Lead [Multiple Positions Available] | Banking | 8 | Fine-tuning · Model serving · Inference infra · LLM observability · Evals |
| Cognite | Principal Field Engineer | Industrial | 8 | Agent orchestration |
| Microsoft | Senior Applied Scientist | Big Tech | 8 | Agent orchestration · Search & ranking · Recommender systems · LLM observability · Fine-tuning · Model serving · Evals |
| Stripe | Engineering Manager, AI Conversation Platform | Fintech | 8 | Fine-tuning · Agent orchestration · LLM observability · Model serving |
| Spotify | Senior Machine Learning Engineer - Content Intelligence | Consumer | 8 | Model serving · Inference infra · LLM observability · Vector DB · Fine-tuning · Agent orchestration · Multimodal · Evals |
| DocuSign | AI Engineer | Enterprise | 8 | Agent orchestration · LLM observability |
| Amazon | Public Sector Partner SA - OpenAI , WWPS Global ISV Partners | Big Tech | 8 | Agent orchestration · Fine-tuning · Multimodal · Model serving · Inference infra |
| Capital One | Senior Manager, Data Science - AI Foundations | Banking | 8 | Fine-tuning · Inference infra · Model serving · Vector DB · LLM observability |
| Capital One | Lead AI Engineer (Vision model customization, VLM) | Banking | 8 | Vision · Multimodal · Inference infra · Model serving · Fine-tuning · Vector DB · Guardrails · LLM observability |
| Disney | Lead Product Manager, AI Platform | Media | 8 | Agent orchestration · Evals · LLM observability · Model serving |
| NVIDIA | Senior Applied AI Engineer, Product Simulation | Semiconductors | 8 | Agent orchestration · Tool use · Evals · LLM observability |
| Weights & Biases | Account Solution Architect | Data AI | 8 | Model serving · Inference infra · Fine-tuning · Evals · LLM observability · Vector DB · Agent orchestration · Tool use |
| Weights & Biases | Principal Solution Specialist, Infrastructure | Data AI | 8 | LLM observability · Agent orchestration · Evals · Model serving |
| PitchBook | Machine Learning Engineer | Fintech | 8 | LLM observability · Fine-tuning · Model serving |
| Oura | AI Fullstack Engineer, Health Intelligence | Consumer | 8 | Agent orchestration · Tool use · Evals · LLM observability · Fine-tuning · Model serving |
| JPMorgan Chase | Applied AI ML Senior Associate | Banking | 8 | Agent orchestration · Model serving · Inference infra · Fine-tuning |
| Amazon | Sr Software Development Engineer, Sponsored Products and Brands | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Fine-tuning · Inference infra · Model serving · Recommender systems · Agent research |
| Chegg | Machine Learning/ AI Engineer | Consumer | 8 | Agent orchestration · Tool use · LLM observability · Model serving · Inference infra · Recommender systems |
| Capital One | Lead Machine Learning Engineer (Manager IC) | Banking | 8 | Model serving · Inference infra · Guardrails · LLM observability · Agent orchestration · Fine-tuning |
| Whatnot | AI Tooling Engineer | Consumer | 8 | Agent orchestration · Evals · LLM observability · Tool use |
| Workday | Machine Learning Engineer - Document Intelligence | Enterprise | 8 | Agent orchestration · Fine-tuning · Model serving · Recommender systems |
| JPMorgan Chase | Applied AI ML Director | Banking | 8 | Agent orchestration · LLM observability · Model serving |
| JPMorgan Chase | Red Team Lead Security Engineer | Banking | 8 | Evals · Guardrails · LLM observability · Agent orchestration |
| Sierra | Software Engineer, Product | AI Frontier | 8 | Agent orchestration · Evals · LLM observability · Audio & speech |
| JPMorgan Chase | AI ML Engineering Lead - Vice President - Wholesale Payments Operations | Banking | 8 | Fine-tuning |
| Ford | Senior Data Scientist | Auto | 8 | Agent orchestration · Tool use · LLM observability · Fine-tuning · Inference infra · Model serving · Recommender systems |