AI Agent Engineer

About Gate

Founded in 2013, Gate is a leading global cryptocurrency exchange, serving 50M+ users with a full suite of digital asset trading and wealth management services.Ranked third globally in overall exchange ranking; We are a remote-first, globally distributed team, building the future of Web3 through innovation, collaboration, and speed.

At Gate, you’ll have the opportunity to work on cutting-edge , We welcome every team member who dares to innovate and actively shares their ideas, driving progress together., and grow alongside a fast-scaling global business.

Join us to help shape the future of crypto. 🚀

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.