DeepSeek Recruiting 17 Positions All-in on Agent: Requires Heavy Use of Claude Code, Full-Stack Roles Specify Vibe Coding Priority

According to CoinWorld, based on monitoring by 1M AI News, DeepSeek has opened 17 job positions, with core research and development shifting from foundational model research to productization of Agents. Three dedicated Agent roles cover algorithm research, data evaluation, and infrastructure across the entire chain: Algorithm researchers focus on applying reinforcement learning to large model alignment (RLHF/RLAIF, reward modeling, preference learning, etc.); data evaluation specialists are responsible for building evaluation datasets and designing test cases for Agent capabilities such as planning, tool invocation, multi-turn interactions, and long-term memory; infrastructure engineers are tasked with building the Agent operating platform, including integrating external tools into internal reinforcement learning infrastructure and setting up evaluation platforms.

Two signals stand out in the recruitment requirements. Multiple positions explicitly prioritize candidates who are “heavy users of AI programming tools such as Claude Code, Cursor, Copilot, etc.” in their bonus criteria. 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 focus on building “the next-generation container scheduling and isolation platform supporting the operation of massive AI Agents.” The Model Strategy Product Manager role is specifically dedicated to the Agent domain, 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, multi-modal device control), as well as leading the design of Agent evaluation systems and training data schemes.

Compared to January of this year, when core positions focused on general directions like “Deep Learning Researcher - AGI,” this recruitment shift clearly leans toward the productization of Agents.