Overview
- Core skills like algorithms and system design are now treated as the baseline as employers expect AI-driven coding, review and design.
- Some interviews permit on-screen AI assistants and judge how candidates use them to achieve business outcomes, according to Akaash Vishal Hazarika.
- Companies at times hand candidates a small codebase and expect a working feature in about an hour, a target Hazarika says is nearly impossible without AI.
- System design discussions increasingly cover where to integrate models, lifecycle management, and trade-offs in cost, reliability and scalability, with debugging stressed because AI can introduce logic errors.
- Hazarika urges graduates to show production experience with AI-integrated projects deployed to the cloud and advises experienced engineers to pair domain depth with an AI product mindset and relevant tooling.