Semantic Search

Frequently asked questions

• What is Semantic Search and how common is it in AI job postings?

  Semantic Search is a skill in the "Retrieval & Search" category. It currently appears in 161 active AI roles across 57 companies in our index.

• Which companies are hiring for Semantic Search?

  The top employers with active AI roles mentioning Semantic Search are: Amazon (16), Apple (12), Adobe (8), Microsoft (7), ByteDance (6).

• Is demand for Semantic Search growing?

  Over the last 12 weeks, 116 new AI postings mentioned Semantic Search. Demand is rising — up 180% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is Semantic Search used?

  Roles requiring Semantic Search are concentrated in: agents (83%), application (7%), serving infrastructure (4%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Semantic Search?

  Job postings that mention Semantic Search most often also require: Agentic Systems, Large Language Models (LLMs), Machine Learning, Python, Vector Databases.