
Pioneer Talent Program - AI Productivity Engineer
at Binance
Posted 15 hours ago
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**Pioneer Talent Program - AI Productivity Engineer:** Binance, the world's top blockchain ecosystem, seeks talented early-career professionals for its AI-focused AI Productivity Engineer role. Responsibilities include developing and optimizing AI-driven productivity tools, collaborating with cross-functional teams, and leveraging cutting-edge technologies like Machine Learning and Python. Proven experience with AI tools and familiarity with Agile methodologies are required. Kickstart your AI career in blockchain and join the dynamic Binance team.
Responsibilities
- Design and develop AI productivity tools for internal engineering teams, such as coding assistants, knowledge retrieval systems, and workflow automation tools
- Build LLM-powered applications for development scenarios, including code generation, code understanding, and test generation capabilities
- Integrate AI capabilities across the full software development lifecycle — from requirements and development to testing and deployment — to improve overall engineering efficiency
- Collaborate closely with engineering teams to identify bottlenecks in development workflows and provide AI-driven optimization solutions
- Explore and implement technical approaches including Prompt Engineering, RAG, and AI Agents
Continuously track and adopt emerging AI technologies to optimize internal platform capabilities
Requirements
- Bachelor's degree or above in Computer Science or a related field
- Proficient in at least one programming language, such as Python, Java, Go, or JavaScript
- Solid foundation in data structures and algorithms
- Basic understanding of large language models (LLMs) and their practical applications
- Experience using AI tools such as ChatGPT, Copilot, or similar
- Familiarity with backend development or web development fundamentals
- Understanding of API integration and system integration principles
- Strong problem-solving ability, with a proactive, result-oriented work style
- Good communication and collaboration skills
Bonus Points
- Hands-on project experience with Prompt Engineering, RAG, or AI Agents
- Experience building AI tools, developer tools, or internal platforms
- Exposure to DevOps, CI/CD, or engineering automation
- Experience with knowledge systems, search systems, or documentation platforms
- Open-source contributions or an active GitHub portfolio
