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 |
|---|---|---|---|---|
| JPMorgan Chase | Applied AI/ML Data Scientist - Vice President | Banking | 8 | Agent orchestration · Guardrails · LLM observability · Model serving · Inference infra · Evals |
| JPMorgan Chase | Applied AI ML Lead | Banking | 8 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving · Evals · Recommender systems |
| OpenAI | Lead, Builder AI Deployment Manager | AI Frontier | 8 | Model serving · Fine-tuning · Evals |
| Staff Machine Learning Engineer, Consumer | Consumer | 8 | Recommender systems · Search & ranking · LLM observability · Agent orchestration · Fine-tuning · Model serving | |
| Amazon | Principal GenAI Specialist SA | Big Tech | 8 | Agent orchestration · Fine-tuning · Inference infra · Model serving · Vector DB · LLM observability |
| Eli Lilly | Director, Discovery Bioinformatics Oncology | Pharma | 8 | Multimodal · Agent orchestration · Fine-tuning · Vector DB · Model serving |
| Staff Software Engineer, Ads Measurement Signal | Consumer | 8 | Agent orchestration · Evals · Guardrails | |
| JPMorgan Chase | Software Engineer III - Applied AI | Banking | 8 | Agent orchestration · Model serving · Inference infra · Fine-tuning |
| Comcast | Machine Learning Engineer (GoLang) | Media | 8 | Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving · Multimodal · Vision · Audio & speech |
| Airbnb | Machine Learning Engineer, Community Support Engineering | Consumer | 8 | Agent orchestration · Fine-tuning · Evals · Guardrails · LLM observability · Model serving |
| Elastic | Sr. AI Engineer, Application Engineering | Enterprise | 8 | Agent orchestration · Agent research · LLM observability · Tool use |
| JPMorgan Chase | Lead Software Engineer | Banking | 8 | Agent orchestration · Tool use · LLM observability · Guardrails |
| Amazon | Software Development Engineer II, Items and Relationships Platform | Big Tech | 8 | Model serving · Inference infra · LLM observability · Vector DB · Agent orchestration · Multimodal · Vision |
| Capital One | Senior Lead AI Engineer | Banking | 8 | Model serving · Inference infra · Guardrails · Vector DB · LLM observability · Fine-tuning |
| Sierra | Intern, Agent Development (Fall 2026) | AI Frontier | 8 | Agent orchestration · Evals |
| Airtable | AI Analytics Engineer (AI & Analytics Platform) | Enterprise | 8 | Agent orchestration · Tool use · Evals · Guardrails |
| Cohere | Solutions Architect - Public Sector | AI Frontier | 8 | LLM observability |
| Capital One | Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) | Banking | 8 | Agent orchestration · LLM observability · Vector DB · Guardrails · Inference infra · Model serving |
| EvenUp | Senior Machine Learning Engineer - Systems | Vertical AI | 8 | Vector DB · Fine-tuning · LLM observability · Agent orchestration · Model serving |
| Apple | AI/Machine Learning Engineer | Big Tech | 8 | Agent orchestration · Tool use · Vector DB · Fine-tuning · Model serving |
| Klaviyo | Sr. Lead AI Engineer | Enterprise | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Fine-tuning · Model serving · Inference infra |
| Upstart | Principal Product Manager, Agentic Platform | Fintech | 8 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability |
| Airbnb | Senior Software Engineer, BizTech(AI Products) | Consumer | 8 | Agent orchestration · LLM observability · Model serving · Inference infra |
| Eli Lilly | Advisor - Software Engineer | Pharma | 8 | Agent orchestration · Tool use · Evals · LLM observability |
| Capital One | Senior Lead AI Engineer | Banking | 8 | Model serving · Inference infra · Fine-tuning · Guardrails · LLM observability · Vector DB · Evals |
| Walmart | Staff, Data Scientist | Retail | 8 | LLM observability · Vector DB · Fine-tuning · Model serving · Multimodal |
| Cresta | AI Language Engineer | Vertical AI | 8 | LLM observability · Fine-tuning · Model serving · Audio & speech · Evals · Agent orchestration |
| JPMorgan Chase | Data Scientist Lead- NLP & LLM | Banking | 8 | LLM observability · Fine-tuning · Model serving · Recommender systems · Search & ranking |
| Amazon | Sr Innovation Engineer, IHub, Innovation and Engagement | Big Tech | 8 | Agent orchestration · Model serving · Vision |
| Iterable | Director, Engineering (Nova) | Enterprise | 8 | Agent orchestration · Evals · 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.
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.