Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Join us to build AI agents the directly serve millions of users!
The role is critical for delivering production-grade AI applications that enhance user experience, automate workflows, and power intelligent user interactions.

REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, AI, or related field
• 10+ years of experience building AI/ML systems, with a proven track of building production-grade AI applications (prefer in autonomous agents)
• Strong programming skills, particularly in Python, Java
• Practical experience with large language models (e.g., GPT, Claude, Gemini, Deepseek), prompt engineering, MCP, RAG etc.
• Understanding of reinforcement learning, planning algorithms, and decision-making systems
• Familiarity with tools, APIs, and infrastructure needed for agent deployment
• Experience with workflow orchestration and system design
• Excellent problem-solving and analytical thinking skills
• Strong communication and collaboration abilities

PREFERRED SKILLS

• Conduct at least one AI chatbot/agent application using Dify / LangChain or similar framework
• Experience in CS chatbot development, like user intend recognition, conversation, and knowledge base enhancement
• Familiar with data analysis, model tuning through data cleaning and feature engineering

• Oversee the entire AI bot project from planning, implementation, maintenance and tuning.
• Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans
• Build frameworks for AI agents to interact with various tools, APIs, and services
• Create mechanisms for effective human-AI collaboration, including clarification, feedback, guidance and follow-up questions
• Optimize agent performance for reliability, accuracy, and efficiency
• Build monitoring and evaluation systems to assess agent performance and identify areas for improvement
• Collaborate with cross-functional teams to integrate agents into products and workflows
• Stay updated with the latest research and developments in AI agent technology