3504 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| BCG | Software Engineering Senior Manager - X Delivery | Consulting | 8 | Agent orchestration · Tool use · Evals · Fine-tuning · LLM observability · Agent research |
| Capital One | Manager, Data Science - GenAI Digital Assistant | Banking | 8 | Agent orchestration · Fine-tuning · Inference infra · Model serving · Vector DB · LLM observability |
| Forward Deployed Engineer, Applied AI, Google Cloud | Big Tech | 8 | Agent orchestration · LLM observability · Evals · Model serving · Tool use | |
| Apple | Engineering Manager - GenAI, AI & Data Platforms (AiDP) | Big Tech | 8 | Agent orchestration · Inference infra · Model serving |
| Samsara | Sr AI Engineer, AI Platform | Enterprise | 8 | Agent orchestration · Vector DB · Fine-tuning · Model serving · LLM observability |
| Microsoft | Software Engineering Manager | Big Tech | 8 | Agent orchestration · LLM observability · Tool use |
| Microsoft | Principal Software Engineer (AI / Agentic Developer Productivity) | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Code gen |
| Microsoft | Senior Software Engineer (AI / Agentic Developer Productivity) | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Agent research · Code gen |
| Celonis | Applied Engineer (Solution Consultant) - Supply Chain | Data AI | 8 | Agent orchestration · Tool use · Guardrails · LLM observability · Fine-tuning · Model serving |
| JPMorgan Chase | Director - Applied AI ML (Software Engineering/Data & Agentic Systems) | Banking | 8 | Agent orchestration · Tool use · Evals · Guardrails · Model serving · LLM observability |
| Honeywell | Sr Advanced Software Engr | Industrial | 8 | Model serving · Inference infra |
| Cloudflare | Software Engineer, AI Agents | Enterprise | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Vector DB · Model serving · Agent research |
| Amazon | Senior Applied AI Solutions Architect, Federal Financial | Big Tech | 8 | Agent orchestration |
| Johnson & Johnson | Associate Director, AI Next Frontier | Pharma | 8 | Agent orchestration · Tool use · LLM observability |
| Salesforce | Forward Deployed Engineer (Multiple Levels) <<based in South Korea>> | Enterprise | 8 | Agent orchestration · Agent research · LLM observability · Vector DB · Fine-tuning · Model serving |
| Capital One | Lead AI Engineer, AI Foundations | Banking | 8 | Model serving · Inference infra · Fine-tuning · Guardrails · Vector DB · LLM observability |
| Capital One | Senior Lead AI Engineer (Gen AI Platform Services) | Banking | 8 | Model serving · Inference infra · Fine-tuning · Guardrails · Vector DB · LLM observability · Evals |
| Perplexity | Member of Technical Staff (Software Engineer, Computer) | AI Frontier | 8 | Agent orchestration · Evals · LLM observability |
| Socure | Senior Software Engineer – Agentic AI Foundations | Vertical AI | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Agent research |
| Apple | Staff Machine Learning Engineer | Big Tech | 8 | Model serving · Inference infra |
| Microsoft | Snr Applied Scientist | Big Tech | 8 | Recommender systems · Search & ranking · Multimodal · LLM observability · Fine-tuning · Evals · Guardrails |
| Dropbox | Senior Machine Learning Engineer, Dash Agentic AI | Enterprise | 8 | Agent orchestration · Agent research · Tool use · LLM observability · Model serving · Inference infra · Recommender systems · Search & ranking · Fine-tuning |
| Celonis | Applied Value Engineer | Data AI | 8 | Agent orchestration · Tool use · Guardrails · LLM observability · Multimodal · Fine-tuning |
| Expedia | Senior Machine Learning Scientist | Hospitality | 8 | Agent orchestration · Tool use · Evals · Fine-tuning · Model serving · Recommender systems |
| Salesforce | Principal Researcher, ES Research & Insights | Enterprise | 8 | LLM observability · Fine-tuning · Model serving · Multimodal |
| Comcast | Sr. Software Engineer - Agentic AI | Media | 8 | Agent orchestration · Agent research · LLM observability · Evals |
| Autodesk | Sr Research Engineer, Computer Vision | Enterprise | 8 | Vision · Multimodal · Fine-tuning · Model serving · Evals |
| Visa | Lead AI Engineer (Agentic AI) | Fintech | 8 | Agent orchestration · LLM observability · Fine-tuning · Model serving |
| Capital One | Senior Lead AI Engineer | Banking | 8 | Model serving · Inference infra · Guardrails · Vector DB · Fine-tuning · LLM observability · Evals |
| Zillow | Applied Scientist, New Construction | Consumer | 8 | Recommender systems · Search & ranking · LLM observability · Model serving |
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, 2,037 active AI roles across 199 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.
2,037 active AI roles across 199 companies in our index reference RAG as of today.
The companies with the most active RAG listings are: Amazon (167 roles), JPMorgan Chase (146 roles), Google (78 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.