AI Agent Researcher

Responsibilities:

1. Build Agent prototypes for specific vertical scenarios (e.g., code generation, WebAgent, GUI interaction) based on our in-house Agent framework, driving the effective deployment of innovative technologies in real business settings.

2. Explore next-generation key technologies in the Agent domain, rapidly translating research outcomes into technical prototypes, and contributing results to the open-source community.

3. Author high-quality technical papers on Agent memory, Multi-Agent Systems, Agent self-evolution, and related fields, with submissions to top-tier conferences and open-source contributions.

4. Keep following the latest technology in AI Agents, Multi-Agent Systems, Agent self-evolution, and Embodied AI across academia and industry, pushing for the innovation on cutting-edge algorithms.

Qualifications:

1. Ph.D. in AI, Computer Science, Mathematics, or related fields. Candidates with a Master’s or Bachelor’s degree may also be considered if they demonstrate exceptional achievements, such as recognition in competitions (e.g. ICPC/IOI) or significant contributions to high-impact open-source project.

2. Familiarity with mainstream Agent frameworks or products such as Openclaw, Hermes, and LangChain, with hands-on experience in building Agent systems independently.

3. Prior publications in top AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) is a strong plus.

4. Solid programming skills, with proficiency in at least one major language such as Python, TypeScript, Java, or Go.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

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