Binance Accelerator Program Backend Engineer (AI Pro Agent Infrastructure)

Job Location:

Taipei City - Taiwan

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Binance is a leading global blockchain ecosystem behind the worlds 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 its like to work at the worlds 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

About the Team

Binance AI Pro is building the next generation of AI-native experiences within Binance.

At the core of AI Pro is an agentic system that can understand user intent reason through multi-step tasks retrieve information call tools and safely execute actions across Binances ecosystem.

As a Backend Engineer Intern youll work directly on the Agent Runtime and AI infrastructure behind these experiences from intent routing and tool orchestration to evaluation observability and reliability. Were looking for strong technical students who enjoy going deep people who are excited byLLM Agents systems algorithms and experimentation and wants to work on real production AI systems alongside experienced Backend Data Science and Algorithm engineers.

You will have the opportunity to turn ideas fromprototype benchmark production and see your work directly impact how AI Pro behaves at scale.

Responsibilities

Build and improve core components of the Agent Runtime including intent routing query rewriting RAG tool/skill orchestration and multi-step agent workflows.
Design and optimize Tool Server / Tool Calling capabilities including tool discovery execution result handling and integration with web search market data and internal services.
Develop evaluation datasets and evaluation harnesses to measure routing accuracy answer quality tool-use performance and agent reliability.
Investigate and improve Agent quality including failure analysis regression detection prompt / workflow optimization and guardrail effectiveness.
Improve system observability and reliability through tracing metrics logging dashboards and production monitoring.
Debug issues across asynchronous services and agent pipelines and build integration tests using mocked LLM responses and replayable evaluation cases.
Work closely with Backend Data Science and Algorithm engineers to experiment benchmark and bring AI capabilities into production.

Requirements (Must Have)

Strong Python programming skills and solid software engineering fundamentals.
Strong understanding of algorithms data structures and problem solving; able to reason about system behavior and trade-offs.
Hands-on experience with LLM applications or Agent systems through research coursework internships or projects.
Familiarity with concepts such as RAG Tool Calling Function Calling Prompting Agent workflows or LLM evaluation.
Able to work comfortably with real codebases APIs asynchronous services testing CI/CD and code review.
Strong debugging and analytical ability with a mindset of understand why it fails not just make it work.

Nice-to-have

Experience with Agent frameworks such as LangGraph LangChain AgentScope LlamaIndex or similar.
Experience with MCP / Tool ecosystems / Agent Runtime.
Experience building Benchmark / Evaluation / LLM testing infrastructure.
Familiarity with vector search embeddings RAG evaluation or LLM observability.
Experience with Redis Kafka Docker Kubernetes or cloud-native systems.
Exposure to LLM security guardrails prompt-injection defense or tool-use safety.
Experience with model inference latency optimization or cost optimization.

What Youll Get

Ship real features to a production AI Agent used by Binance users.
Work on the Agent Runtime and AI infrastructure rather than only application-layer development.
Learn from senior Backend Data Science and Algorithm engineers.
Gain hands-on experience across the modern LLM application stack: Agent Runtime RAG Tool Calling Evaluation LLMOps and AI Safety.
Own meaningful engineering projects end-to-end from problem definition implementation evaluation production.

Why Binance

Shape the future with the worlds 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 ourCandidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Unclear Seniority