AI Agent Observability Engineer - Binance Accelerator Program

B
BinanceBlockchain/Web3
Asia / Taiwan, Taipei / Hong KongContractEntry
Salary not disclosed
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Job Details

Required Skills
PythonSQLGitNosqlRESTful APIsLinuxLLMLangChain

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, or 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 (e.g., prompt engineering, function calling, RAG, vector databases, or experience integrating frameworks like LangChain/LangGraph).
  • 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.

Responsibilities

  • 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.
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