An AI Engineer also needs to understand both traditional (waterfall) and agile approach insoftware development life cycle, including continuous integration, continuous delivery, and continuous deployment (CI/CD). They also must understand various testing practices, including test-driven development and behavior-driven development.

Additionally, an AI Engineer needs to understand where machine learning fits into these continuous integration and continuous delivery pipelines. Put differently, an AI Engineer needs to know how to improve agile processes in an IT organization with the help of machine learning.

To be able to perform at such a high level, an AI Engineer needs to have at least five years (preferably ten years) of experience in a number of programming languages.

preferred programming language : Java, C/C++