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.
3504 AI roles tagged rag.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Snowflake | Software Engineer, Cortex AI Infrastructure | Data AI | 8 | Agent orchestration · Vector DB · Evals · Guardrails · LLM observability · Model serving |
| Snowflake | Senior Applied AI Engineer | Data AI | 8 | Agent orchestration · Evals · LLM observability · Guardrails |
| Honeywell | Sr Advanced AI Platform Engineer | Industrial | 8 | Agent orchestration · Model serving · Inference infra · LLM observability |
| Snowflake | Applied AI Engineer | Data AI | 8 | Agent orchestration · Evals · LLM observability · Guardrails |
| Microsoft | Senior Machine Learning Engineer | Big Tech | 8 | Fine-tuning · Vector DB · Semantic search · Model serving · Inference infra · Recommender systems · Search & ranking |
| UiPath | Principal Forward Deployed Engineer | Enterprise | 8 | Agent orchestration · Evals · Fine-tuning · Inference infra · Model serving · Tool use |
| John Deere | Part-Time Student - Software Engineer - Moline, IL | Industrial | 8 | Agent orchestration · Tool use · Vector DB · Multimodal · LLM observability |
| Ford | AI Engineer | Auto | 8 | Agent orchestration · Tool use · Vector DB · Guardrails · LLM observability |
| Forward Deployed Engineer III, Google Cloud, Applied AI | Big Tech | 8 | Agent orchestration · Tool use · Evals · LLM observability · Inference infra · Model serving | |
| Senior Software Engineer, Generative AI, Core ML | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Model serving · Inference infra | |
| Databricks | AI Engineer - FDE (Forward Deployed Engineer) | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| Databricks | AI Engineer - FDE (Forward Deployed Engineer) | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| Databricks | AI Engineer - FDE (Forward Deployed Engineer) | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| Databricks | AI Engineer - FDE (Forward Deployed Engineer) | Data AI | 8 | Agent orchestration · Fine-tuning · Model serving · Evals |
| Elastic | Principal Product Manager, AI agents - Search | Enterprise | 8 | Agent orchestration · Vector DB · LLM observability · Evals |
| Elastic | Principal Product Manager, AI agents - Search | Enterprise | 8 | Agent orchestration · Vector DB · Evals · LLM observability |
| Elastic | Principal Product Manager, AI agents - Search | Enterprise | 8 | Agent orchestration · Vector DB · LLM observability · Evals |
| ByteDance | Software engineer - AI Agent Infra | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Forward Deployed Architect Manager, Generative AI, Google Cloud | Big Tech | 8 | Agent orchestration · Tool use · LLM observability | |
| Snowflake | Applied AI Engineer | Data AI | 8 | Agent orchestration · LLM observability · Model serving · Fine-tuning |
| Forward Deployed Engineering Manager, Gen AI | Big Tech | 8 | Agent orchestration · Tool use · LLM observability · Multi-agent | |
| AMD | Sr. AI Software Engineer | Semiconductors | 8 | Agent orchestration · Tool use · LLM observability · Model serving |
| Verizon | Princ Engr-Technology Strategy | Telecom | 8 | Agent orchestration · RLHF · LLM observability |
| Expedia | Senior Machine Learning Scientist - Personalization | Hospitality | 8 | Recommender systems · Search & ranking |
| Intel | AI Software Development Engineer | Semiconductors | 8 | Agent orchestration · LLM observability · Evals |
| Target | Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs) | Retail | 8 | Recommender systems · Search & ranking · Vector DB · Model serving · Inference infra |
| Target | Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs) | Retail | 8 | LLM observability · Vector DB · Agent orchestration · Search & ranking · Recommender systems · Model serving |
| Deloitte | Forward Deployed Engineer- Agentic AI | Consulting | 8 | Agent orchestration · Tool use · Vector DB · LLM observability · Evals |
| Johnson & Johnson | Data Scientist- Clinical Decision Support- LLMs | Pharma | 8 | LLM observability · Vector DB · Fine-tuning · Model serving · Agent orchestration |
| Deloitte | Lead OpenAI Forward Deployed Engineer - GPS | Consulting | 8 | Agent orchestration · Model serving · LLM observability · Evals |
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.