Software Engineer
Posted 20 Aug 2026
Advertised as “Junior Software Engineer(AI&LLM)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Field of studyComputer Science, Engineering, Software Engineering (or related)
Study levelBachelor's
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
We are looking for a Junior Software Engineer who is comfortable working across the full product development stack, including frontend, backend, and AI-powered features.
In this role, you will build 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. We are looking for someone who can move fast, learn quickly, and use AI tools effectively to deliver end-to-end product features.
This is not a pure frontend or pure backend role. We value engineers who can take ownership of a feature from requirement understanding to UI implementation, backend logic, AI integration, testing, and iteration.
Responsibilities
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Build and maintain end-to-end product features across frontend, backend, and AI/LLM components.
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Develop user interfaces for internal tools, dashboards, AI assistants, automation workflows, and productivity platforms.
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Build backend services, APIs, data pipelines, task workflows, and integrations with internal or external systems.
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Integrate LLM/AI capabilities into real product scenarios, such as intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
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Use AI coding tools to improve development speed, code quality, testing, and debugging.
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Work with product, operations, support, engineering, security, and infrastructure teams to understand user needs and deliver practical solutions.
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Participate in product iteration based on user feedback, usage data, and business impact.
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Write clean, maintainable code and contribute to documentation, testing, and engineering best practices.
Requirements
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Bachelor’s degree or above in Computer Science, Software Engineering, Engineering, or a related field.