Proficient in Java programming with a solid foundation in object-oriented design and a strong understanding of common design patterns.
Extensive experience with mainstream Java frameworks such as Spring Boot and Spring Cloud, with a good understanding of their underlying principles and implementation mechanisms.
Strong proficiency in MySQL, including writing complex SQL queries and optimizing database performance.
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Education: Bachelor’s degree in Design, Computer Science, Business, Engineering, or a related discipline (or equivalent practical experience).
Core Design Skills: Strong proficiency in modern design tools (Figma, Sketch, or Adobe XD) and a solid grasp of user-centered design, information architecture, and accessibility.
Product Execution & QA: Hands-on experience or familiarity with the full Software Development Lifecycle (SDLC) - including story grooming, developer handoff, basic QA testing, and release workflows.
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Currently pursuing a Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Information Technology, or a related discipline.
Basic understanding of statistics, data analysis, and machine learning concepts.
Familiarity with Python or R for data analysis.
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A critical thinking problem solver who has the technical tools to build, validate and ship
3–5 years of product experience, including hands-on work shipping AI-powered features (not just managing a roadmap for them).
Practical experience with LLM APIs (OpenAI, Anthropic, Gemini or similar), prompt engineering, and retrieval-augmented generation (RAG). You know how to manage AI instead of letting it think for you.
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Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
Candidates with an Internet company background, a minimum of 5 years of professional experience, and experience in designing and developing large-scale websites or high-traffic business systems are preferred.
Proficient in Java, with in-depth understanding and hands-on experience in JVM, multithreading, network I/O, and locking mechanisms.
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Studying or graduated in Data Analytics, Data Science, Statistics, Data Engineering, Computer Science, Business, or related field — but open to other degrees if you have a keen interest in IT/AI and have built vibe-coded projects (using tools like Claude, Codex, ChatGPT, etc.)
Sound analytical thinking — able to interpret data, spot patterns, and draw logical conclusions