"I've learned which skill sets software engineers need to land a job offer in the AI era. Tech companies agree that AI makes engineers more productive, so engineers are expected to use it to build things more quickly and reliably. I personally make heavy use of AI to help me with boilerplate stuff so that I can concentrate on the hard stuff, like system design and complex business logic."
"Preparing to be a software engineer isn't the same as it was five years ago When I was interviewing for software engineering jobs in 2020, LeetCode and system design were the de facto standards for cracking a job interview. Job seekers who had an advanced understanding of data structures and algorithms would come out on top. Today, this is just the baseline expectation. AI is now widely used for coding, review, and design, so tech companies, especially startups, expect more from candidates."
AI has shifted hiring expectations so that data structures and algorithms are baseline skills while AI proficiency has become essential. Engineers are expected to use AI to accelerate coding, automate boilerplate, and focus human effort on system design and complex business logic. New practical skills include prompt engineering, AI-assisted error handling, and AI systems integration for workflows and scaling. Core competencies such as problem-solving, system scalability, and cloud-service knowledge remain important. Startups and tech companies increasingly evaluate candidates on the ability to combine traditional engineering with AI-driven development and operational practices.
Read at Business Insider
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