Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised

Description

  • 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 and AI capabilities into practical use cases 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.
  • Collaborate with product, operations, support, engineering, security, and infrastructure teams to understand user needs and deliver solutions.
  • Iterate on products 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 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 or AI applications such as LLM API integration, prompt engineering, RAG, AI agents, tool/function calling, workflow automation, text classification/summarization/extraction, or LLM output evaluation.
  • Comfortable using AI coding tools such as Cursor, Claude Code, GitHub Copilot, Cline, or OpenCode 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.
  • Experience building AI-powered products, internal tools, dashboards, workflow automation systems, or data-driven applications is preferred.
  • Experience with LLM, agent, or RAG frameworks such as LangChain, LlamaIndex, Dify, AutoGen, CrewAI, OpenAI API, Anthropic API, or Hugging Face is preferred.
  • Experience with vector databases, embeddings, semantic search, knowledge bases, or retrieval systems is preferred.
  • Experience with observability, monitoring, alerting, incident analysis, DevOps, SRE, or workflow automation is preferred.
  • Experience with UI/UX design thinking or building usable internal tools from scratch is preferred.
  • Experience using AI tools to build full-stack features faster, including frontend generation, backend scaffolding, tests, and documentation, is preferred.
  • Personal AI projects, hackathon projects, open-source contributions, or production AI application experience is preferred.
  • Good technical writing and knowledge sharing habits are preferred.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the business team’s work nature.
  • Opportunity to collaborate with world-class talent in a global organization.
  • Autonomy in a fast-paced, innovative environment.
  • Career growth and continuous learning opportunities.

Interested in this position?

Apply directly on the company website

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