About the role:

We are building a next-generation Translation Management System (TMS) and Binance Translation platform (BTS), designed to handle complex multilingual data, translation pipelines, and large-scale content operations. Our system goes beyond CRUD — it involves workflow orchestration, translation memory optimization, and high-performance data querying. We aim to build a robust infrastructure that supports scalable localization and automation.

Responsibilities:

📍Build and maintain end-to-end systems that integrate AI capabilities into real-world products, covering both backend services and frontend interfaces. 📍Design and develop scalable data pipelines, APIs, and interactive UIs for model-driven and real-time applications. 📍Work closely with product and research teams to bring AI-powered features (e.g., LLM-driven workflows, agents) from concept to production. 📍Continuously explore and integrate cutting-edge AI technologies to improve system capability and developer productivity. 📍Build intuitive and high-performance frontend applications to visualize data, workflows, and AI outputs. 📍Optimize system performance across the stack, including frontend responsiveness, backend throughput, and overall system reliability. 📍Contribute to architectural design, engineering standards, and best practices across frontend and backend.

Requirements:

📍No academic degree is required; candidates are evaluated purely on technical depth and capability. 📍Strong full-stack engineering skills, with solid experience in backend development (Node.js / Go / Python) and modern frontend frameworks (React / Vue). 📍High sensitivity to AI technology trends, with hands-on experience or strong interest in LLMs, agents, or AI-driven systems. 📍Fast learner with the ability to quickly understand and apply new technologies in a rapidly evolving space. 📍Strong frontend fundamentals, including state management, performance optimization, and building complex interactive UIs. 📍Experience designing scalable systems, including APIs, asynchronous workflows, and event-driven architectures. 📍Strong problem-solving skills and ability to operate effectively in ambiguous, fast-changing environments. 📍Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.

Nice-to-have: 📍Experience building AI-native products, including agent systems, workflow orchestration, or LLM-based applications. 📍Familiarity with vector databases, retrieval systems, or prompt engineering and evaluation. 📍Experience with real-time data visualization, dashboards, or developer tooling interfaces.

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