Google to Allow Job Candidates to Use Gemini AI During Interviews
Google is revamping its software engineering hiring process by introducing a pilot program that allows candidates to use its Gemini AI assistant during part of the interview. This shift reflects how deeply AI tools have become embedded in modern engineering workflows.
Starting in the second half of 2026, candidates applying for junior and mid-level software engineering roles across select U.S. teams can use Gemini during the code comprehension round. In this phase, applicants will review, debug, and improve an existing codebase. Instead of focusing solely on memorization or traditional coding exercises, interviewers will assess how effectively candidates work with AI tools.
“We’re always evolving our interview processes to ensure we’re recruiting and hiring the best talent,” Brian Ong, Google’s vice president of recruiting, told Business Insider. “We’re rolling out a pilot for software engineering interviews to be more reflective of how our teams are operating in the AI era.”
Hiring Process Gets a Technical Refresh
Beyond the AI-assisted round, the company is redesigning other parts of its interview structure. The long-running behavioral assessment will now include a technical design discussion centered on a candidate’s previous project experience. Meanwhile, junior applicants will face an open-ended engineering challenge instead of one conventional technical round.
This updated approach aims to measure real-world problem-solving rather than rehearsed responses. The company will begin testing the new format across its Cloud division and platforms and devices unit this month. If the pilot performs well, the program will expand globally.
A New Standard for Tech Recruitment?
The revised framework is described internally as “human-led, AI-assisted,” reflecting the realities of software development in the generative AI era. As companies increasingly integrate AI into daily operations, hiring practices are beginning to follow the same path.
The broader hiring market already shows this transition. A recent report found that 63% of U.S. job seekers have encountered AI-driven interviews. However, 38% of candidates have also withdrawn from hiring processes involving AI.
This initiative takes a notably different approach because it places AI tools in the hands of candidates instead of interviewers. As a result, the move could reshape how the technology industry defines engineering competence in the years ahead.
