DeepSeek is opening 17 positions all at once, with a focus on Agent: requiring heavy use of Claude Code, full-stack roles prioritizing Vibe Coding.

DeepSeek is centrally opening 17 recruitment positions, with the core research focus shifting from foundational model research to Agent productization. Three dedicated Agent roles cover algorithm research, data evaluation, and infrastructure across the entire chain: algorithm researchers focus on applying reinforcement learning in large model alignment (RLHF/RLAIF, process rewards, preference learning, etc.); data evaluation experts are responsible for building evaluation datasets and designing test cases for Agent capabilities such as planning, tool invocation, multi-turn interaction, and long-term memory; infrastructure engineers are responsible for building the Agent runtime platform, including integrating external tools into internal reinforcement learning infrastructure and setting up evaluation platforms.
There are two noteworthy signals in the recruitment requirements. Multiple positions explicitly prioritize "heavy use of AI programming tools such as Claude Code, Cursor, Copilot" as a bonus. The full-stack developer role includes an uncommon description: "As a heavy user of Vibe Coding, continuously exploring innovative applications of model capabilities in products," with the core work focus being the development of "the next-generation container scheduling and isolation platform supporting the operation of massive AI Agents."
The Model Strategy Product Manager position is specifically dedicated to the Agent direction, requiring candidates to be familiar with Agent products like Claude Code, OpenClaw, Manus, etc., and to have insights into high-value application scenarios (including personal assistants, Deep Research, automation workflows, multimodal device control), as well as leading the design of Agent evaluation systems and training data schemes. Compared to January this year, when core positions focused on general directions like "Deep Learning Researcher - AGI," this recruitment shift clearly leans toward Agent productization. $BNB