AI Engineer

Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance.