China’s AI hiring is expanding rapidly on Maimai’s recruiting platform, but the most useful signal in its latest report is not the headline growth rate. It is the type of work employers are listing. Maimai’s data show application-development roles accounted for the largest share of new AI postings from January through July, while deployment-oriented engineering roles grew faster than the broader category.
Caixin Global reported that new AI job postings on Maimai rose 789.5% year over year in the first seven months of 2026. The underlying report, released September 16 by Maimai Gaopin Talent Think Tank, gives the more precise figure of 789.47%. The evidence should be read carefully: it describes postings on Maimai in its defined new-economy industries, not a representative measure of every employer or worker in China.
Application-development roles dominate Maimai’s AI-posting mix
Maimai divided AI jobs into technical-foundation roles, application-development roles, and business-effectiveness roles. According to the report, application development represented 60.97% of new AI postings in the January-to-July period. Technical-foundation positions made up 24.55%, while business-effectiveness roles accounted for 14.48%.
That allocation supports a narrower conclusion than a national claim that model training has given way to commercial deployment. Maimai’s platform data point to a recruitment mix weighted toward applying AI in products and workflows. It does not prove a causal shift for the whole Chinese economy, because the underlying report methodology, employer count, sample frame, and job-classification rules were not available on Maimai’s public site during this review.
The distinction is not academic. A company building an underlying model may hire researchers, systems engineers, and data specialists. A company applying AI to a customer workflow may hire product managers, integration engineers, field staff, and developers who can connect a model to existing systems. The report’s categories suggest that the second group is becoming more visible in Maimai’s listings.
EastFrontier has previously followed the policy side of this trend, including China’s 2028 target for AI software and agent adoption. Maimai’s numbers do not demonstrate that policy caused the hiring change, but they provide a platform-level view of the type of roles accompanying broader AI deployment.
Deployment engineers record the fastest reported increase
The fastest-growing technical role in the report was FDE, rendered as frontier deployment engineer, or on-site deployment engineer. Maimai said postings for that category rose 1,522.73% year over year. The report also said AI product-manager postings increased 120.54%, although that second figure appeared in one detailed account and should remain secondary to the better-corroborated role mix.
FDE is not presented as a standardized national occupational classification. In this report, it captures work that takes models and related systems from a technical environment into a customer site or business process. That may include integration, deployment, testing, configuration, and ongoing performance work. The sharp increase is therefore most useful as an indicator of demand inside Maimai’s listing base, not as a precise count of a newly defined labor category nationwide.
The report ranked ByteDance first by volume of new AI postings, followed by 小红书 (Xiaohongshu), Ant Group, and Tencent. It also ranked ByteDance first in net AI-talent inflow, followed by Alibaba, Tencent, DJI, and Xiaohongshu. These are Maimai report rankings, not company hiring announcements. The data do not show how many people were hired or how long vacancies remained open.
Maimai reported that DeepSeek’s new AI postings rose 601.40% year over year. Again, that is a platform-data claim rather than a DeepSeek announcement. It is nonetheless consistent with a market in which model developers and large technology companies are competing for both foundational-model talent and the people who can turn model access into a working product.
The broader talent pipeline will matter as much as recruitment competition. EastFrontier’s report on Baidu extending China’s AI talent race into scholarships showed large technology firms investing earlier in the education pipeline. Maimai’s report concerns current openings, while scholarship programs address the longer-term supply of technical talent. They are connected, but they should not be treated as the same data point.
Second-tier city growth broadens the geographic picture
Beijing, Shanghai, and Shenzhen held the largest volumes of new AI postings in the report. The most rapid growth among the top ten cities, however, appeared elsewhere. Maimai reported year-over-year increases of 1,570.37% in Hefei, 1,158.70% in Chengdu, and 1,068.18% in Suzhou.
The numbers do not show that AI employment is evenly distributed across China. The largest listing volumes remained concentrated in the three biggest technology centers. But the growth rates suggest that employers in other cities were expanding their AI recruitment from smaller bases. Hefei’s result is the most strongly cross-checked of the three: Caixin’s lead repeated it in rounded form, while National Business Daily and Beijing News reported the detailed city figures.
This regional pattern is relevant to the deployment angle. Cities with established manufacturing, automotive, semiconductor, research, or software clusters can create demand for people who apply AI to specific industrial or enterprise settings. The Maimai report does not identify the sector composition behind each city’s percentage, so it cannot establish why any one city grew faster. It does establish that the posting growth was not confined to Beijing, Shanghai, and Shenzhen.
Maimai’s headline is compelling, but its limits are equally important. The report covers its own platform, its own new-economy definition, and a January-to-July comparison. It is not an official labor-market release, and the public material did not disclose a methodology sufficient to generalize its results across China’s entire workforce.
Even with that caution, the report offers a concrete point for China’s AI business story. New postings on a major professional-recruitment platform grew sharply, application-development roles formed the largest category, and deployment engineering accelerated fastest. The next question is whether those postings turn into durable employment and deployed products. Maimai’s data cannot answer that yet, but they show where employers were looking during the first seven months of 2026.