The AI talent landscape continues to sizzle, as DeepSeek and Kimi, two titans in the AI realm, have recently initiated recruitment campaigns in tandem. While both entities are on the hunt for elite, innovative minds, their recruitment strategies diverge significantly. DeepSeek, with a pronounced research-centric approach, has unveiled 150 positions tailored for senior engineers. Its newly crafted recruitment evaluation framework zeroes in on assessing candidates' hands-on engineering prowess and adeptness at tackling intricate challenges. The recruitment drive remains open throughout the year, reflecting the company's voracious appetite for expansion. On the flip side, Kimi, in light of its IPO preparations, is tilting more towards scouting talent geared towards commercialization. It has launched a worldwide recruitment endeavor for 7 "wildcard" roles, placing a premium on unconventional talent. Given its stable organizational framework, Kimi's recruitment efforts are primarily geared towards filling existing vacancies and fostering incremental growth. Presently, the tech industry is witnessing a fierce tussle for AI talent, with remuneration for top-tier AI professionals soaring to unprecedented heights. Salary, however, is no longer the linchpin driving talent migration; instead, non-market individual attributes have emerged as pivotal. Traditional barriers to entry, such as educational qualifications and background, are gradually being relegated to the status of mere references. In the AI epoch, the yardstick for talent valuation is being recalibrated, with ongoing learning and skill augmentation assuming paramount importance for personal advancement.