The AI Hiring Caste System Is Already Here

The strongest signal from this AMA is that AI is already reshaping engineering hiring into a system based on tiers: AI labs at the top, then product companies, then consulting firms. Jumping between tiers is becoming harder, and candidates without direct AI experience are stuck.

What matters: employers now look for engineers who can reason through AI outputs, not just write code. Homeworks are done with AI, but interviews probe whether a candidate truly understands the design choices. This adds friction and subjectivity, making hiring feel unfair.

The practical implication: engineering leaders must redesign interview processes to assess AI-augmented skills, such as critiquing AI-generated solutions and explaining tradeoffs. Trial weeks and work-together periods, like Linear’s model, are gaining favor but are hard to scale.

Meanwhile, big tech’s frantic AI adoption is creating cultural damage. Meta’s forced reassignments show how founder obsession can erode morale. The lesson: AI integration must balance speed with people, or you’ll lose your best engineers.