Binance Accelerator Program - AI Agent Engineer

Binance Accelerator Program (BAP) — AI Engineering Intern

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by more than 320 million people in 100+ countries, Binance is recognized for security, transparency, trading engine speed, investor protections, and a broad portfolio of digital asset products and offerings across trading, finance, education, research, social good, payments, institutional services, and Web3 features. Binance is committed to building an inclusive crypto ecosystem to increase freedom of money and financial access worldwide.

About the Binance Accelerator Program

The Binance Accelerator Program (BAP) is a 3–6 month internship program for early career talent to gain firsthand experience in the rapidly expanding digital assets space. Interns will develop skills at Binance, understand what it’s like to work at the world’s leading blockchain ecosystem, and have opportunities for networking and professional development.

Who May Apply

• Current university students and recent graduates.
• Terms of employment/engagement are subject to contract and local applicable laws.

About the Role

We are building cutting-edge AI systems that enable the next generation of intelligent applications. Our team develops AI agents, benchmarking datasets, and robust infrastructure to support real-world deployments at scale. You will work in an engineering-driven, 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 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.

Requirements

• Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
• Strong programming fundamentals—language-agnostic, with practical experience in 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.

Culture & Mindset

• AI-native working style: you naturally use AI tools in your daily workflow 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 are willing to adopt new frameworks, tools, or paradigms before they are mainstream.
• First-principles thinking: you are comfortable redesigning workflows rather than only optimizing what already exists.

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.

Why Binance

• 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 (may vary depending on business team and work requirements).