Expertise in developing and applying LLMs like GPT and BERT is highly sought after in AI-driven industries.
Proficiency in creating scalable, efficient, and user-friendly software architectures remains crucial.
Ability to critically assess and improve code quality ensures robust and maintainable software development.
Strong debugging skills are essential for identifying and resolving issues, ensuring optimal software performance.
Understanding AI concepts and applications is becoming a baseline expectation across engineering roles.