Binance Accelerator Program - Binance - Binance Accelerator Program - Software Engineer (Backend + AI/LLM)

• 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. • 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; Python is • with Java/Go/TypeScript/JavaScript is a plus. • Familiar with common engineering tools and workflows: Git, basic Linux, debugging • ; understanding of unit/integration testing, RESTful APIs, and databases (SQL/NoSQL). • Some AI/LLM project or internship • is sufficient (e.g., prompt engineering, RAG, vector databases, or frameworks like LangChain/LangGraph). • Strong ownership, good communication and collaboration • , and the ability to learn quickly. Able to commit to at least 6 months, 5 days per week. Nice-to-have: • 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 tools. • Exposure to LLM evaluation, prompt iteration, data feedback loops, or basic fine-tuning workflows. • Shape the future with the world s leading blockchain ecosystem. • Collaborate with world-class talent in a user-centric global organization. • Tackle unique, fast-paced projects with autonomy. • Results-driven workplace with opportunities for career growth and continuous learning.