Pioneer Talent Program - Applied AI Agent/AI Productivity Engineer (Top Talent Program)

Location: Australia, Hong Kong, Malaysia, New Zealand, Singapore, or Taiwan. Remote-first, work-from-home arrangement; availability may vary depending on the role and team.

Company

Binance is a global blockchain and cryptocurrency ecosystem providing trading, finance, payments, education, research, and institutional digital-asset services.

What you will do

• Design and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools, and workflow automation.
• Build and integrate LLM-powered applications for code generation, code understanding, testing, and developer workflow automation.
• Develop AI agent workflows and supporting infrastructure for tool calling, context management, memory, evaluation, and workflow orchestration.
• Integrate AI capabilities into requirements, development, testing, and deployment workflows to improve engineering productivity.
• Work with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions.
• Own projects end-to-end, from problem definition and technical design through implementation, deployment, and iteration.

Requirements

• Bachelor’s degree or higher in Computer Science, Data Science, Software Engineering, or a related field.
• 1–5 years of software engineering or applied AI engineering experience.
• Proficiency in at least one of Python, Java, Go, or JavaScript/TypeScript.
• Strong software engineering fundamentals, including API integration, system design, debugging, and testing.
• Hands-on experience building or integrating LLM-powered applications and practical knowledge of AI agents, RAG, prompt engineering, MCP/tool calling, context management, or AI evaluation.
• Experience with backend, platform, or full-stack development and integrating AI into production or internal workflows, plus strong problem-solving, communication, and collaboration skills.

Nice to have

• Experience building AI productivity tools, developer tools, internal platforms, or workflow automation systems.
• Experience with agent frameworks, agent memory, tool orchestration, multi-agent systems, RAG, knowledge systems, search, or documentation platforms.
• Experience integrating LLMs into coding, testing, code review, or deployment workflows.
• Exposure to DevOps, CI/CD, cloud infrastructure, engineering automation, LangChain, Claude Agent SDK, MCP, or similar tooling.
• Open-source contributions or an active GitHub portfolio.

Culture & Benefits

• Remote-first, work-from-home arrangement, subject to the nature of the role and team.
• Work in a user-centric global organization with a flat structure and world-class talent.
• Autonomy on challenging projects in a fast-paced, innovative, and results-driven environment.
• Opportunities for career growth and continuous learning.
• Competitive salary and company benefits.