Search systems using embeddings to match meaning rather than keywords. The retrieval primitive behind most modern RAG, knowledge base, and discovery products.
Primary AI lifecycle stage: application.
As of today, 14 active AI roles across 12 companies in our index reference Semantic search. Hiring concentrates at the agents (93%) and application (7%) stages. Most common sectors: Enterprise, Fintech, Retail. New postings fell 40% in the last 30 days versus the prior 30 (10 → 6).
Search systems using embeddings to match meaning rather than keywords. The retrieval primitive behind most modern RAG, knowledge base, and discovery products. Primary AI lifecycle stage: application.
14 active AI roles across 12 companies in our index reference Semantic search as of today. New postings fell 40% in the last 30 days versus the prior 30 (10 → 6).
The companies with the most active Semantic search listings are: Adobe (3 roles), Algolia (1 role), Amazon (1 role), Autodesk (1 role), Bill.com (1 role).
Semantic search primarily belongs to the application stage of the AI lifecycle. In current hiring, Semantic search roles concentrate at: agents (93%), application (7%).
The sectors with the most active Semantic search hiring are: Enterprise, Fintech, Retail.
5 AI roles tagged semantic_search.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Microsoft | Senior Machine Learning Engineer | Big Tech | 8 | Fine-tuning · Vector DB · RAG · Model serving · Inference infra · Recommender systems · Search & ranking |
| Senior Blackbelt Engineer, Gemini Cloud Assist (English) | Big Tech | 8 | Agent orchestration · Model serving · Inference infra | |
| Microsoft | Principal Software Engineer | Big Tech | 7 | Agent orchestration · RAG · LLM observability · Model serving |
| Amazon | Senior Analytics Solutions Architect | Big Tech | 7 | Agent orchestration · RAG · Vector DB · LLM observability · Search & ranking |
| Microsoft | Senior Software Engineer | Big Tech | 5 | Model serving |