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Binance | South East Asia |
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Binance Accelerator Program - AI Engineer
Taiwan, Taipei / South East Asia / India, Bangalore
Engineering – Backend /
Binance Accelerator Program /
Remote
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Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
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. 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 systems.
- Help build and maintain benchmark datasets to evaluate AI performance.
- Implement, test, and optimize backend services in Python or Golang.
- Collaborate closely with senior engineers on system design, integration, 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 and experience with Python or Golang.
- Solid understanding of software engineering principles (data structures, algorithms, version control).
- Interest in AI, data-driven systems, and building tools for real-world applications.
- Good communication skills and willingness to learn quickly.
- Machine learning knowledge is a plus, but not required.
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What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.