Software Engineer (AI）

Job description

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. We're seeking an experienced AI Agent Engineer to design, develop, and optimize intelligent AI agents that can autonomously perform complex tasks. You'll be at the forefront of creating autonomous systems that can reason, plan, and execute actions to solve real-world problems. ### Responsibilities - Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans - Develop frameworks for AI agents to interact with various tools, APIs, and services - Create mechanisms for effective human-AI collaboration, including clarification, feedback, and guidance - 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 current with the latest research and developments in AI agent technology ### Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, or related field - 3+ years of experience building AI/ML systems, with a focus on autonomous agents - Strong programming skills, particularly in Python,Golang - Experience with large language models (e.g., GPT, Claude, Gemini) and prompt engineering - Knowledge of agent frameworks such as LangGraph, AutoGen, or similar technologies - 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 Qualifications** - Experience developing production-grade AI agents that operate in real-world environments - Background in cognitive architectures or symbolic reasoning systems - Knowledge of safety and alignment techniques for AI agents - Experience with retrieval-augmented generation (RAG) systems - Familiarity with autonomous agent evaluation frameworks - Contributions to open-source agent projects or research - Winners of ACM, NOI and other algorithm competitions