Agent design as interview gate

A technologist is betting that “design an agent” will become a standard interview question at top artificial intelligence labs within two years, shifting prep from model trivia to system design. (substack.com) (openai.com) The prediction came from product-and-careers writer Aakash Gupta, who has been publishing interview advice for artificial intelligence product roles in 2026 and said labs are already hiring for work that spans model behavior, infrastructure, and deployment. (substack.com) (aakashg.com) An “agent” in this context is not a new model class so much as a software system that lets a model plan, call tools, check results, and keep going over many turns. Anthropic said its Research feature uses multiple Claude agents, with a lead agent creating parallel subagents to search and synthesize information. (anthropic.com) That makes an interview prompt about fallbacks or tool orchestration more concrete than it sounds. A candidate could be asked what happens when a web search fails, when a code runner times out, or when a cheaper model should hand work to a stronger one. (anthropic.com) (openai.com) The hiring signal is visible in job postings. OpenAI’s Codex team says research engineers may work on “agentic behavior,” “container orchestration,” and system performance, while Anthropic’s engineering site has published posts on effective agents, long-running harnesses, tool use, and agent evaluations from December 2024 through March 2026. (openai.com) (anthropic.com) That is a different emphasis from the interview loops many machine-learning candidates trained for in the last decade, which often centered on coding, math, and isolated modeling work. OpenAI’s public interview guide still describes broad skills-based assessments rather than a fixed “agent design” round, and Google DeepMind says its process varies by role. (openai.com) (deepmind.google) The labs themselves are also describing work in more end-to-end terms. OpenAI’s research engineer role calls for experience with large distributed systems, and Google DeepMind says research engineers combine software engineering, machine learning, and research skills. (openai.com) (deepmind.google) Anthropic’s public materials push the same direction from a safety angle. Its careers page says the company wants reliable, trustworthy, and secure systems, and its engineering posts increasingly focus on harnesses, permissions, evaluations, and other controls around autonomous behavior. (anthropic.com 1) (anthropic.com 2) The practical result for candidates is that “build the model” may no longer be enough as an interview story on its own. If Gupta’s forecast lands, the stronger answer will sound more like a production review: which model does what, which tool gets called when, and what the system does when any step breaks. (substack.com) (openai.com)