Binance Accelerator Program - AI Agent Engineer

About the Role

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

Requirements

- 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

What We're Looking For (Culture & Mindset)

- 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