Binance Accelerator Program -AI Agent Observability Engineer

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. **About Binance Accelerator Program** Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program [HERE](https://www.binance.com/en/blog/all/early-career-program-how-binance-gears-up-early-career-talent-6771140985933048651). **Who may apply** Current university students and recent graduates. *\*Terms of employment / engagement shall be subject to contract and local applicable laws* ### 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.