Junior Software Engineer（AI&LLM)
Remote • Asia
Posted 1mo ago
About the job
Binance is seeking a Junior Software Engineer to contribute across the full product development stack, including frontend, backend, and AI-powered features. This role involves building internal tools, automation platforms, data-driven products, and AI-enabled workflows. You will work on user-facing interfaces, backend services, APIs, data integrations, and LLM-powered capabilities, taking ownership of features from understanding requirements to UI implementation, backend logic, AI integration, testing, and iteration. The ideal candidate is someone who can move fast, learn quickly, and effectively leverage AI tools to deliver end-to-end product features.
Responsibilities
- Build and maintain end-to-end product features across frontend, backend, and AI/LLM components.
- Develop user interfaces for internal tools, dashboards, AI assistants, automation workflows, and productivity platforms.
- Build backend services, APIs, data pipelines, task workflows, and integrations with internal or external systems.
- Integrate LLM/AI capabilities into real product scenarios, such as intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
- Use AI coding tools to improve development speed, code quality, testing, and debugging.
- Work with cross-functional teams to understand user needs and deliver practical solutions.
- Participate in product iteration based on user feedback, usage data, and business impact.
- Write clean, maintainable code and contribute to documentation, testing, and engineering best practices.
Requirements
- Bachelor’s degree or above in Computer Science, Software Engineering, Engineering, or a related field.
- Solid programming foundation and ability to learn new technologies quickly.
- Hands-on experience with at least one frontend framework (e.g., React, Vue, Angular).
- Hands-on experience with at least one backend language or framework (e.g., Python, Go, Java, Node.js).
- Basic understanding of frontend engineering principles.
- Basic understanding of backend engineering principles.
- Real experience with LLM/AI applications (e.g., LLM API integration, Prompt engineering, RAG, AI agents, workflow automation, text classification/summarization/extraction, LLM output evaluation).
- Comfortable using AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot).
- Strong ownership, good communication skills, and willingness to work on ambiguous problems.
- Ability to deliver practical solutions with both engineering quality and user experience in mind.