[Hiring] AI Agent Engineer @Binance

Role Description

We are building cutting-edge AI systems that enable the next generation of intelligent applications. Our team focuses on developing AI agents, benchmarking datasets, and robust infrastructure to support real-world deployments at scale. As part of our engineering-driven culture, you'll be exposed to a fast-paced environment where experimentation, collaboration, and innovation are encouraged.

Responsibilities

• Contribute to the design and development of AI agents integrated into live production systems
• Help build and maintain benchmark datasets to evaluate agent performance, accuracy, and safety
• Design and refine prompts, tool integrations, and agent workflows
• Implement, test, and optimize services and tooling across the stack — backend, data, scripting, automation, and glue code
• Collaborate closely with senior engineers on system design, multi-agent orchestration, and deployment
• Participate in code reviews, debugging, and documentation to ensure best practices
• Work in a team environment that encourages mentorship, knowledge sharing, and hands-on learning

Qualifications

• Currently pursuing a degree in Computer Science, Software Engineering, or a related field
• Strong programming fundamentals — language-agnostic, but practical experience with at least one of Python, Go, TypeScript, or similar
• Solid understanding of software engineering principles (data structures, algorithms, version control)
• Familiarity or working knowledge of any AI agent framework (e.g., OpenClaw, hermes-agent, LangChain, CrewAI, AutoGen)
• Interest in AI, data-driven systems, and building tools for real-world applications
• Good communication skills and willingness to learn quickly

Requirements

• AI-native working style — you naturally reach for AI tools in your daily workflow, not as an afterthought but as a core part of how you think, build, and solve problems
• Eager to learn and open-minded — you stay current with the latest technologies and aren't afraid to adopt new frameworks, tools, or paradigms before they're mainstream
• First-principles thinker who's comfortable redesigning workflows rather than just optimizing existing ones

Nice to Haves

• Experience with LLMs, prompt engineering, or building tools on top of AI models
• Exposure to multi-agent systems or agent orchestration patterns
• Familiarity with Docker, cloud platforms, or CI/CD pipelines
• Machine learning knowledge is a plus, but not required

Benefits

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)