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New job postings from DeepSeek show the Chinese AI lab plans to build an agentic model that can find vulnerabilities in code. These details, buried in a hiring round, show DeepSeek\u2019s new strategy following the attention garnered by a US model with such capabilities, Anthropic\u2019s Mythos.<\/p>\n
DeepSeek has listed dozens of roles as part of a June commitment to nearly double its workforce. An ASPI analysis of the postings shows the company shifting from being a research-oriented lab to a commercially oriented AI developer, with stronger international ambitions and heavier investment in frontier models. These include a planned \u2018code agent\u2019 trained by data engineers who can \u2018discover attack surfaces and construct attack paths in real-world products\u2019, according to one listing.<\/p>\n
The hiring spree comes after DeepSeek raised<\/a> US$7.4 billion last month in its first funding round \u2013 prompted, according to a report from news website The Information<\/a>, by a sense of shock inside the company at the April release of Mythos, which can identify cybersecurity vulnerabilities and engage in offensive cyberattacks.<\/p>\n On 15 June, DeepSeek said<\/a> it would \u2018at least double the size of all departments\u2019, and it has listed<\/a> vacancies in over 30 categories. The detailed job descriptions in these listings give a sense of where the company, considered to be China\u2019s leading AI research lab, is heading. These roles indicate plans for expanding computing infrastructure, an international expansion of DeepSeek\u2019s information search products, and a new AI agent with cybersecurity capabilities.<\/p>\n Most of the vacancies are for AI engineers with particular expertise in building software for AI agents. These are AI models capable of autonomously carrying out tasks for a user, not just reasoning through problems. While other Chinese AI labs, such as MiniMax and Alibaba\u2019s Qwen, have been creating AI agents, DeepSeek has not released<\/a> one of its own. DeepSeek\u2019s job postings require future hires who build these agents to have experience with a variety of code-building AI models, including Anthropic\u2019s Claude Code, a product banned in China but still accessed widely<\/a> in the country.<\/p>\n The agents that DeepSeek is planning to build will have a cybersecurity focus. The job description for the \u2018Code Agent Data Engineer\u2019 team involves designing \u2018high-quality evaluation tasks in areas of expertise to quantify the model\u2019s performance in complex real-world scenarios.\u2019 One listed area of expertise is a \u2018Cybersecurity Special Project\u2019, requiring developers to have \u2018an attacker\u2019s perspective\u2019, identifying software vulnerabilities and training agents to spot them, too. These engineers must be able to write exploit<\/a> code, a way to target a vulnerability in software, and \u2018to discover attack surfaces and construct attack paths in real-world products, complex codebases, or intelligent agent environments.\u2019 Preference will be given to candidates with experience working in \u2018automated vulnerability discovery<\/a>\u2019. The job posting contains no further details on this special project\u2019s purpose.<\/p>\n Above is the job listing for a Code Agent Data Engineer, creating a model with abilities to identify vulnerabilities in code. Source: DeepSeek job listings on MokaHR<\/a><\/p>\n The company is also seeking to expand its AI computing resources, listing roles for engineers for building efficient supercomputer clusters and data centres, alongside a \u2018Procurement Team\u2019 responsible for obtaining all the hardware needed to run AI services, including AI chips (also known as GPUs) and AI servers. While these job listings don\u2019t make it clear where these GPUs will come from, engineers will be responsible for evaluating the effectiveness of using \u2018domestic AI accelerators\u2019 (\u56fd\u4ea7 AI \u52a0\u901f\u5668), which likely means<\/a> chips from Chinese companies such as Huawei and Cambricon. The Financial Times has reported<\/a> that DeepSeek had been \u2018encouraged by the authorities\u2019 to train its latest AI model on Huawei chips. So this could well be a continuation of a strategy of using DeepSeek to test the capabilities of Chinese-made hardware.<\/p>\n AI agents need much more<\/a> computing capacity and electricity to run than generative AI models, such as ChatGPT, do. Job postings also suggest that DeepSeek wants greater electricity supply. The location of two of the advertised roles \u2013 for data centres and hardware procurement \u2013 is Ulanqab, a city in the grasslands of Inner Mongolia in the north of China. This is the northern hub of the Eastern Data and Western Computing \u00a0\u00a0initiative, a state-organised plan to outsource energy-intensive computing tasks to lightly populated parts of the country where electricity is abundant. DeepSeek will be joining<\/a> other Chinese tech companies, such as Huawei and Alibaba, that have set up \u00a0new data centers and computing power in Ulanqab.<\/p>\n In addition to its growing focus on developing frontier models, DeepSeek is expanding its administrative teams, hiring for a wide variety of roles, including outside AI expertise, with openings in its legal, human resources, administrative and finance teams.<\/p>\n The company still has a small staff. It managed to rise to international prominence with fewer than 200<\/a> people on the payroll in February 2025 and has expanded by only around 100 since then. Even if staff numbers doubled, this would still be a small team by the standards of Western labs (Anthropic is reported<\/a> to currently have around 2,500 staff members) and Chinese labs (Z.ai, another start-up AI lab which launched GLM-5.2 this month, already had<\/a> more than 800 staff by mid-2025).<\/p>\n![](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/07\/Colville-Deepseek-listing.png\")
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