Salary not listedPosted 2h ago
Real job — pulled straight from Binance’s careers page · Verified September 13, 2026 · No reposts.
Job description
Binance is hiring a AI Agent Observability Engineer — a internship, based in Taipei role. Apply directly on Binance's careers page below.
Binance Accelerator Program -AI Agent Observability Engineer
Team: Backend
Location: Asia, Taiwan, Taipei, Hong Kong
Commitment: Binance Accelerator Program
Workplace Type: remote
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.
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.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
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Frequently asked questions
What skills are required for AI Agent Observability Engineer at Binance?
The required skills for AI Agent Observability Engineer at Binance include: Python, Java, Go, TypeScript, JavaScript, Git, Linux, SQL, NoSQL, API, LangChain, LangGraph, Docker, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, Elasticsearch, LLM, RAG.
What is the seniority level for AI Agent Observability Engineer at Binance?
AI Agent Observability Engineer at Binance is a Internship level position.
How do I apply for AI Agent Observability Engineer at Binance?
You can view the full description and apply for AI Agent Observability Engineer at Binance on EchoJobs: https://echojobs.io/job/binance-binance-accelerator-program-ai-agent-observability-engineer-6d21e.