Binance – AI Application Software Engineer
About the Role
Binance is building AI-powered agents to serve millions of users across its ecosystem. As an AI Application Engineer, you'll lead the development, deployment, and optimization of production-ready AI systems that enhance user interactions, automate processes, and drive intelligent decision-making.
Key Responsibilities
- Manage end-to-end lifecycle of AI bot projects: planning, development, and ongoing tuning
- Design and implement AI agent architectures that can reason, plan, and interact with APIs/tools
- Develop systems for human-AI collaboration (e.g., clarifications, follow-ups, feedback)
- Build performance monitoring and evaluation systems for continuous improvement
- Work cross-functionally to integrate agents into existing Binance products and services
- Stay current with latest AI/LLM/agent research and incorporate best practices
Requirements
- Degree in Computer Science, AI, or related field (Bachelor's or Master's)
- 3+ years of hands-on experience in AI/ML development
- Strong in Python (and preferably Java); experience building production-grade AI applications
- Familiarity with LLMs (GPT, Claude, Gemini, Deepseek), prompt engineering, RAG, MCP
- Knowledge of reinforcement learning, planning, and decision-making algorithms
- Skilled in system design, workflow orchestration, and agent deployment
- Great at problem-solving, collaboration, and communication
Preferred Skills
- Experience with LangChain, Dify, or similar AI agent frameworks
- Built or contributed to conversational AI/chatbots with intent recognition & knowledge base enhancement
- Hands-on with data cleaning, feature engineering, and model tuning
Why Binance?
- Shape the future of AI in the largest crypto ecosystem
- Autonomy to build and deploy real-world, high-impact applications
- Work with global leaders in a flat, user-first organization
- Learn continuously with fast-paced, cutting-edge projects
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