- All departments targeted to at least double in size
- Agent infrastructure and AI coding emerge as key priorities
DeepSeek has unveiled a sweeping recruitment drive aimed at at least doubling the size of every department, signaling an aggressive expansion phase following its recently completed fundraising round.
The company said it is hiring across 33 positions spanning seven broad categories, including full-stack development, core AI systems research, operations, product and corporate functions, with roles based in Beijing and Hangzhou.
Mega funding round
The recruitment effort comes after DeepSeek reportedly raised more than 50 billion yuan ($7.4 billion) in its first external financing round, at a valuation exceeding $50 billion.
Openings include server-side engineers, pre-training data engineers, AI search algorithm and architecture specialists, Agent Harness team members, Agent infrastructure engineers, front-end and client developers, and cross-disciplinary AI talent, covering much of the AI research and commercialization stack.
One focal point of the expansion is the Agent Harness team. DeepSeek has previously outlined a “Model + Harness = Agent” framework.
Under this structure, the harness layer connects foundation models with external tools, enabling context management, tool use, file operations and workflow coordination to turn model capabilities into deployable productivity applications.
The team is led by former Jane Street quantitative specialist Cui Tianyi and is now in a rapid growth phase, according to the company.
On the eve of AGI
In the hiring announcement, DeepSeek said: “Humanity is standing on the eve of AGI. Join DeepSeek to witness the development of AGI from the front row and see the birth of a new era.”
The Information previously reported that the company completed its first outside funding round in June, raising more than 50 billion yuan and securing what would be the largest single financing round yet in China’s AI sector.
The hiring push suggests DeepSeek is moving rapidly to convert its capital base into talent and technical capabilities, with a particular focus on AI coding tools.
The company expects these technologies can compete with products such as Anthropic’s Claude Code and establish end-to-end engineering capabilities in developers’ daily workflows.
