About Company
We are one of the earliest and most established digital asset platforms, operating a high-performance trading ecosystem with tens of millions of users and millisecond-level latency.
We are now at an inflection point toward an AI-native future — leveraging LLMs to rebuild core interaction and decision-making paradigms. We are looking for exceptional AI professionals to join us in building the next generation of fintech infrastructure.
The Role
We are seeking a talented professional with expertise in AI Agent product management or engineering to help build our next-generation Intelligent Agent system. You will lead the design and implementation of autonomous AI Agents capable of executing complex tasks, similar to Manus, Perplexity Compute, and Claude Computer Use. This role offers a unique opportunity to own the full lifecycle—from architectural design and planning to tool integration and product launch.
What You'll Do
- Design and develop scalable AI Agent system architectures.
- Build intelligent agents capable of executing sophisticated, autonomous tasks.
- Architect frameworks for task planning, tool usage, and multi-step execution.
- Develop agents that operate seamlessly across web, system, and desktop environments.
- Optimize multi-tool orchestration and end-to-end task execution flows.
- Collaborate with Product and Engineering teams to turn Agent capabilities into core features.
- Stay ahead of the curve by tracking and implementing the latest Agentic AI trends.
What We're Looking For
Must-haves
- Background in Computer Science, AI, or related fields with proven experience in shipping AI products.
- Deep understanding of AI Agents, LLM applications, and the evolving AI landscape.
- Proficiency in LLM tool integration (Tool Use / Function Calling).
- Hands-on experience with Agent architectures, task planning, or complex workflows.
- A proactive learner who stays highly attuned to emerging technical breakthroughs.
Strong-to-haves
- Experience in developing Web Agents or Computer Use Agents.
- Prior work with automation task systems or complex workflow orchestration.
- Proven track record of taking an AI Agent product from 0 to 1.