Context Engineering

Frequently asked questions

• What is Context Engineering and how common is it in AI job postings?

  Context Engineering is a skill in the "Agents & Autonomy" category. It currently appears in 217 active AI roles across 78 companies in our index.

• Which companies are hiring for Context Engineering?

  The top employers with active AI roles mentioning Context Engineering are: Amazon (23), Google (21), NVIDIA (12), JPMorgan Chase (11), Apple (10).

• Is demand for Context Engineering growing?

  Over the last 12 weeks, 172 new AI postings mentioned Context Engineering. Demand is rising — up 238% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is Context Engineering used?

  Roles requiring Context Engineering are concentrated in: agents (89%), application (3%), post-training (3%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Context Engineering?

  Job postings that mention Context Engineering most often also require: Agentic Systems, Large Language Models (LLMs), Machine Learning, Agent Orchestration, LLM Evaluation & Grading.