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 Lead | Banking | 8 | LLM observability · Agent orchestration · Tool use · Evals · Fine-tuning · Model serving |
| Databricks | Sr. Developer Advocate, Databricks AI Agentic Systems | Data AI | 8 | Agent orchestration · LLM observability · Guardrails · Evals · Model serving |
| Snowflake | Staff AI Engineer - Snowflake Intelligence | Data AI | 8 | Agent orchestration · Tool use · Guardrails · Evals |
| Cresta | Senior Forward Deployed Engineer (AI Agent) | Vertical AI | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Cohere | Member of Technical Staff, MLE (Korea) | AI Frontier | 8 | Fine-tuning · Inference infra · Model serving |
| Cohere | Senior Member of Technical Staff, MLE (Middle East) | AI Frontier | 8 | Agent orchestration · Inference infra · Model serving |
| Cresta | Machine Learning Engineering Intern | Vertical AI | 8 | Fine-tuning · Model serving |
| Netflix | AI Engineer 6 - AI Foundation & Tooling, Ads Platform | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Evals |
| Joby Aviation | Senior AI Engineer | Robotics | 8 | Agent orchestration · Model serving · Inference infra · Vector DB · LLM observability · Guardrails · Evals |
| Palantir | Forward Deployed AI Engineer | Enterprise | 8 | Agent orchestration · Model serving · Fine-tuning · Evals |
| Palantir | Forward Deployed AI Engineer | Enterprise | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| Databricks | Sr. Machine Learning Engineer | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving |
| ByteDance | Tech Lead Manager, Large Language Models & Generative AI | Big Tech | 8 | Recommender systems · LLM observability · Model serving |
| Glean | Machine Learning Engineer, Search Quality | Enterprise | 8 | Recommender systems · Search & ranking · Fine-tuning · Model serving · Agent orchestration |
| Technical Program Manager III, AI Labs, Core | Big Tech | 7 | Agent orchestration · Evals · Guardrails · LLM observability · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Vision · Multimodal · Audio & speech · Frontier research · Interpretability · Synthetic data · Agent research · RL post-training | |
| Microsoft | Software Engineer 2 | Big Tech | 7 | Agent orchestration · Tool use · Vector DB · LLM observability · Guardrails · Model serving |
| JPMorgan Chase | Data Scientist - Modelling | Banking | 7 | Agent orchestration · Vector DB |
| Oracle | Principal Software Engineer | Enterprise | 7 | Agent orchestration · Tool use · LLM observability · Vector DB · Inference infra · Model serving |
| Abnormal AI | Senior Marketing Data Analyst | Vertical AI | 7 | Agent orchestration · Vector DB |
| Oracle | Senior AI Solutions Engineer – Customer Success and Deployment | Enterprise | 7 | Vector DB · Fine-tuning · Inference infra · Model serving · LLM observability · Agent orchestration |
| Microsoft | Principal Software Engineer | Big Tech | 7 | Model serving |
| Gusto | Staff Software Engineer, Growth (Revenue Enablement) | Fintech | 7 | Agent orchestration · Tool use · Evals · Guardrails · LLM observability · Model serving |
| Microsoft | Software Engineer II - AI Engineering / Python/DS | Big Tech | 7 | Agent orchestration · Tool use · Fine-tuning · Model serving · LLM observability · Evals |
| Microsoft | Software Engineer II - Full Stack (The Fabric Data Engineering Experience & Infrastructure) | Big Tech | 7 | Agent orchestration · Tool use · LLM observability · Model serving |
| Outreach | Forward Deployed Engineer – AI Revenue Agents | Enterprise | 7 | Agent orchestration · Tool use · LLM observability |
| Celonis | Associate Applied AI Engineer (Benelux) - Orbit Program | Data AI | 7 | Agent orchestration · LLM observability · Vector DB · Fine-tuning · Model serving |
| Staff Software Engineer, Vector Search, Vertex AI | Big Tech | 7 | Inference infra · Model serving · Vector DB · Multimodal · Vision | |
| Elastic | Senior AI Data Engineer | Enterprise | 7 | Vector DB · LLM observability |
| Amazon | Senior Product Manager, Amazon Business India | Big Tech | 7 | Agent orchestration · Fine-tuning |
| Nordstrom | Sr. Principal Technical Program Manager (Hybrid - Seattle, WA) | Retail | 7 | Agent orchestration · Tool use · Code gen · Evals · LLM observability |
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.