Binance Accelerator Program AI Agent Engineer

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 youll be exposed to a fast-paced environment where experimentation collaboration and innovation are encouraged.

- 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

- 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

- 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 arent afraid to adopt new frameworks tools or paradigms before theyre mainstream
- First-principles thinker whos comfortable redesigning workflows rather than just optimizing existing ones

- 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