Binance Accelerator Program -AI Agent Observability EngineerActive

The opportunity

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,…

What you'll do

  • 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.

What they're looking for

  • 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.