Binance Accelerator Program - Software Engineer Intern (AI/LLM Experience a Plus)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 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 Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE   Who may apply  Current university students and recent graduates Responsibility

Contribute to backend and/or full-stack feature development, testing, and release for core products/platforms, delivering production-ready code.

Collaborate with senior engineers on module design, API/interface definition, system integration, and deployment (including logging, monitoring, and performance optimization).

Write and maintain automated tests and CI/CD-related configurations to improve development efficiency and code quality.

Support the engineering deployment of AI/LLM capabilities based on business needs, such as integrating LLM APIs, building basic RAG pipelines, and embedding tool/agent capabilities into existing systems.

Help build and maintain datasets and benchmarks for evaluation/regression, track online performance, and assist with debugging and fixing issues.

Produce necessary technical documentation and communicate effectively across teams.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Solid software engineering fundamentals: data structures and algorithms, object-oriented design, common design patterns, and coding best practices.

Proficient in at least one primary programming language for engineering work; Python is required. Experience with Java/Go/TypeScript/JavaScript is a plus.

Familiar with common engineering tools and workflows: Git, basic Linux, debugging skills; understanding of unit/integration testing, RESTful APIs, and databases (SQL/NoSQL).

Some AI/LLM project or internship experience is sufficient (no deep research required), e.g., prompt engineering/function calling, RAG, vector databases, or experience integrating frameworks like LangChain/LangGraph is a plus.

Strong ownership, good communication and collaboration skills, and the ability to learn quickly and deliver.

Able to commit to at least 6 months, 5 days per week.

Nice to Have

Experience shipping web/backend services; knowledge of caching, message queues, concurrency, and performance tuning.

Familiarity with containerization and deployment (Docker/Kubernetes), cloud platforms (AWS/GCP/Azure), or observability (Prometheus/Grafana/ELK).

Exposure to LLM evaluation, prompt iteration, data feedback loops, or basic fine-tuning workflows.