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.
1,958 active AI roles across 201 companies in our index reference RAG as of today. New postings fell 24% in the last 30 days versus the prior 30 (995 → 760).
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 (85%), application (5%).
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, 1,958 active AI roles across 201 companies in our index reference RAG. Hiring concentrates at the agents (85%) and application (5%) stages. Most common sectors: Enterprise, Big Tech, Banking. New postings fell 24% in the last 30 days versus the prior 30 (995 → 760).
3085 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Director of Data Science, Trust & Safety, Signals and Content Understanding | Consumer | 7 | Recommender systems · Search & ranking · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Multimodal | |
| Apple | Software Engineer, Machine Learning & AI | Big Tech | 7 | Agent orchestration · Fine-tuning · Inference infra · Model serving · Evals |
| Premera Blue Cross | Solution Architect/AI Engineer IV | Insurance | 7 | Agent orchestration · Multimodal · Model serving · Inference infra · LLM observability · Guardrails |
| Anthropic | Applied AI Architect, Federal Civilian | AI Frontier | 7 | LLM observability · Evals · Model serving · Agent orchestration |
| Vercel | Forward-Deployed Engineer | Enterprise | 7 | Agent orchestration · Tool use · LLM observability |
| Contentful | Senior Software Engineer - Machine Learning (f/m/d) | Enterprise | 7 | LLM observability · Fine-tuning · Model serving · Agent orchestration · Agent research |
| Contentful | Senior Software Engineer - Machine Learning (f/m/d) | Enterprise | 7 | LLM observability · Fine-tuning · Model serving · Agent orchestration · Agent research |
| Dropbox | Principal Software Engineer, Core Sharing & Collaboration | Enterprise | 7 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking |
| Calendly | Machine Learning Engineer | Enterprise | 7 | Model serving · Fine-tuning · Vector DB |
| Microsoft | Engineering Lead - Extreme Retrieval | Big Tech | 7 | Recommender systems · Search & ranking · Evals · Model serving |
| Elastic | Principal Software Engineer - Vector Search - Elasticsearch | Enterprise | 7 | Vector DB · Search & ranking · Inference infra · Model serving |
| SoFi | Senior Staff Software Engineer, Agentic Test Platform | Fintech | 7 | Agent orchestration · Evals · Vector DB · Inference infra · Model serving |
| Whatnot | Software Engineer, Search & Discovery Platform | Consumer | 7 | Recommender systems · Search & ranking · Model serving · Inference infra · LLM observability |
| SoFi | Senior Staff Software Engineer, AI Accelerated SDLC | Fintech | 7 | Agent orchestration · Vector DB · Inference infra · Model serving |
| Box | Senior Software Engineer, Agents Platform | Enterprise | 7 | Agent orchestration · Tool use · Guardrails · LLM observability |
| Smartsheet | Principal Data Engineer / Architect - Individual Contributor | Seattle | 7 | Vector DB |
| Perplexity | Internship - Search Machine Learning Engineer | AI Frontier | 7 | Recommender systems · Search & ranking · Fine-tuning · Model serving |
| JPMorgan Chase | Product Director - Fraud | Banking | 7 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving · Evals · Guardrails |
| Capital One | Senior Associate, Data Scientist - Model Risk Office | Banking | 7 | LLM observability · Vector DB · Fine-tuning · Multimodal |
| Capital One | Manager, Data Scientist - Model Risk Office | Banking | 7 | LLM observability · Vector DB · Evals · Fine-tuning |
| Walmart | Principal, Data Scientist | Retail | 7 | Forecasting · Vector DB · Model serving |
| Apple | Sr. Machine Learning Engineer – Recommendations & Personalization (Feature Engineering) | Big Tech | 7 | Recommender systems · Model serving · Inference infra · LLM observability · Agent orchestration |
| Anthropic | Applied AI Architect, Enterprise Tech | AI Frontier | 7 | LLM observability · Evals · Model serving · Agent orchestration |
| Replit | Field Engineer | Enterprise | 7 | Agent orchestration · Guardrails · Model serving · Evals |
| Vercel | Forward-Deployed Engineer | Enterprise | 7 | Agent orchestration · Tool use · Model serving |
| Amazon | Software Development Engineer - Trust and Privacy, Devices & Services Trust, Privacy, and Accessibility (TPA) | Big Tech | 7 | Agent orchestration · Fine-tuning · Vector DB |
| DoorDash | Engineering Manager, Search Quality | Consumer | 7 | Recommender systems · Search & ranking · LLM observability · Vector DB · Model serving |
| OpenAI | AI Deployment Engineer | AI Frontier | 7 | LLM observability · Vector DB · Model serving |
| Confluent | AI Architect | Data AI | 7 | Agent orchestration · Vector DB · Fine-tuning · Model serving · LLM observability · Guardrails |
| Toast | Senior Product Manager, Support AI Experimentation | Enterprise | 7 | Agent research · Evals · LLM observability · Vector DB · Fine-tuning · Model serving · Audio & speech |