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

Australia; Hong Kong; Malaysia; New Zealand; Singapore; Taiwan2d ago

In Office Junior APAC Cloud Computing Artificial Intelligence Talent Acquisition Manager HR Generalist Java Go Python JavaScript TypeScript Learning & Development Full Stack Claude LangChain GitHub Documentation

Requirements

• Bachelor's degree or above in Computer Science, Data Science, Software Engineering or a related field. • Computer Science, Data Science, Software Engineering or a related field • 1–5 years of software engineering or applied AI engineering experience. • Proficient in at least one programming language, such as Python, Java, Go or JavaScript/TypeScript. • Python, Java, Go or JavaScript/TypeScript • Solid software engineering fundamentals, including API integration, system design, debugging and testing. • API integration, system design, debugging and testing • Hands-on experience building or integrating LLM-powered applications. • LLM-powered applications • Practical understanding of one or more of LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation. • LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation • Experience with backend, platform or full-stack development and integrating AI capabilities into production or internal workflows. • backend, platform or full-stack development • Strong problem-solving and learning ability, with a hands-on and proactive approach. • hands-on and proactive approach • Good communication and collaboration skills, with the ability to work closely with engineering teams to understand and solve real-world problems. • Experience building AI productivity tools, developer tools, internal platforms or workflow automation systems. • AI productivity tools, developer tools, internal platforms or workflow automation systems • Experience with AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems. • AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems • Experience integrating LLMs into software development workflows, such as coding, testing, code review or deployment. • software development workflows • Experience with RAG, knowledge systems, search or documentation platforms. • RAG, knowledge systems, search or documentation platforms • Exposure to DevOps, CI/CD, cloud infrastructure or engineering automation. • DevOps, CI/CD, cloud infrastructure or engineering automation • Experience with LangChain, Claude Agent SDK, MCP or similar AI tooling. • LangChain, Claude Agent SDK, MCP or similar AI tooling • Open-source contributions or an active GitHub portfolio.

Responsibilities

• Design and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools and workflow automation. • AI-powered productivity tools • Build and integrate LLM-powered applications for real-world engineering use cases, such as code generation, code understanding, testing and developer workflow automation. • LLM-powered applications • Develop AI Agent workflows and supporting infrastructure, including tool calling, context management, memory, evaluation and workflow orchestration. • AI Agent workflows and supporting infrastructure • Integrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity. • Work closely with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions. • practical AI-driven solutions • Prompt Engineering, RAG, AI Agents and MCP/tool calling • Own projects end-to-end, from problem definition and technical design to implementation, deployment and iteration. • problem definition and technical design to implementation, deployment and iteration.

Benefits

• Shape the future of finance • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)