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.
3085 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Algolia | Director, Product Management, Tech Platform | Enterprise | 7 | Agent orchestration · Model serving · Search & ranking |
| Okta | Staff Software Engineer, AI and Automation | Enterprise | 7 | Agent orchestration · Vector DB · LLM observability · Guardrails · Inference infra · Model serving |
| Premera Blue Cross | AI Engineer IV | Insurance | 7 | Model serving · Inference infra |
| EvenUp | Senior Backend Engineer, Entities | Vertical AI | 7 | Inference infra · Model serving · LLM observability · Agent orchestration |
| Oura | Senior Product Manager, Health Intelligence | Consumer | 7 | Agent orchestration · Guardrails |
| Microsoft | Member of Technical Staff - Retrieval-Augmented Generation (RAG) | Big Tech | 7 | Vector DB · Recommender systems · Search & ranking · LLM observability |
| Ramp | Product Manager | Generalist (All Levels) | Fintech | 7 | Fine-tuning · Evals |
| Iterable | Senior Machine Learning Engineer (Nova) | Enterprise | 7 | Agent orchestration · Vector DB · Evals · Model serving |
| xAI | Backend Engineer - Enterprise | AI Frontier | 7 | Agent orchestration · LLM observability |
| Databricks | Software Engineer- Fullstack- Singapore | Data AI | 7 | Agent orchestration · Model serving · Inference infra · Fine-tuning · LLM observability |
| Sierra | Strategist, Agent Development | AI Frontier | 7 | Agent orchestration · Tool use · Evals |
| Amazon | Sr. AI Platform Data Engineer, Ring Decision Science, Ring Decision Science | Big Tech | 7 | Agent orchestration · Fine-tuning |
| Spotify | Machine Learning Engineer, Personalization, Minesweeper | Consumer | 7 | LLM observability · Fine-tuning · Model serving · Recommender systems |
| Staff Software Engineer, ML Search | Consumer | 7 | Model serving · Inference infra · Recommender systems · Search & ranking | |
| Airbnb | Staff GenAI Backend Engineer, Automation Foundation | Consumer | 7 | Agent orchestration · Fine-tuning · Model serving |
| SoFi | Staff Full Stack Engineer | Fintech | 7 | Agent orchestration |
| Cohere | Forward Deployed Engineer, Infrastructure Specialist (UK/EU/ME) | AI Frontier | 7 | Agent orchestration |
| Apple | Senior Software Engineer - AI Observability - AI, Search & Knowledge Platform | Big Tech | 7 | LLM observability · Agent orchestration · Tool use · Fine-tuning · Model serving |
| Cresta | Senior Full Stack Engineer - Conversation Intelligence | Vertical AI | 7 | LLM observability · Agent orchestration · Vector DB · Fine-tuning · Model serving |
| Glean | Software Engineer, Data Foundations | Enterprise | 7 | |
| Whatnot | Software Engineer, Trust & Risk | Consumer | 7 | Agent orchestration · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Inference infra · Model serving · Recommender systems · Search & ranking · Vision · Audio & speech · Frontier research · Interpretability · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI |
| Weights & Biases | Senior Software Engineer (Full-Stack + Agentic AI) | Data AI | 7 | Agent orchestration · Tool use |
| Okta | Staff Software Engineer | Enterprise | 7 | Agent orchestration · Fine-tuning |
| JPMorgan Chase | Lead Software Engineer - MLOps | Banking | 7 | Model serving · Inference infra · Agent orchestration · LLM observability |
| Vanta | Senior Software Engineer, AI Product | Enterprise | 7 | LLM observability · Guardrails · Agent orchestration · Fine-tuning · Model serving |
| Dropbox | Senior Engineering Manager, Core Media & Intelligence | Enterprise | 7 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Vision · Multimodal · Agent research |
| Walmart | Principal, Software Engineer | Retail | 7 | Agent orchestration · LLM observability |
| Microsoft | Software Engineer II - CoreAI | Big Tech | 7 | Vector DB · Multimodal · LLM observability |
| Databricks | Staff Software Engineer, Search Quality | Data AI | 7 | Search & ranking · Recommender systems · Vector DB · Evals · Multimodal |
| Cresta | Strategic Solutions Engineer, East | Vertical AI | 7 | Agent orchestration |
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).