The World’s Leading Blockchain Ecosystem and Digital Asset Exchange
Backend Engineer, LLM
Location
Singapore
Posted
5 days ago
Salary
0
Seniority
Senior
Job Description
Backend Engineer, LLM
Binance
• 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 product, operations, support, engineering, security, and infrastructure 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.
Job 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, such as React, Vue, Angular, or similar.
- Hands-on experience with at least one backend language or framework, such as Python, Go, Java, Node.js, FastAPI, Spring Boot, Express, or similar.
- Basic understanding of frontend engineering, including component design, state management, API integration, UI debugging, and browser fundamentals.
- Basic understanding of backend engineering, including API design, databases, authentication, async jobs, logging, monitoring, and service reliability.
- Real experience with LLM/AI applications, such as:
- LLM API integration
- Prompt engineering
- RAG
- AI agents
- Tool/function calling
- Workflow automation
- Text classification / summarization / extraction
- LLM output evaluation
- Comfortable using AI coding tools such as Cursor, Claude Code, GitHub Copilot, Cline, OpenCode, or similar tools in daily development.
- 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.
- Nice to Have
- Experience building AI-powered products, internal tools, dashboards, workflow automation systems, or data-driven applications.
- Experience with LLM/Agent/RAG frameworks such as LangChain, LlamaIndex, Dify, AutoGen, CrewAI, OpenAI API, Anthropic API, Hugging Face, or similar.
Benefits
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
- Opportunities for career growth and continuous learning
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