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You'll work directly on the AI systems powering Binance AI Products and next-generation agentic trading features — alongside the full-time algorithm team, on real production challenges.
You own deliverables, run experiments, and ship code that matters. You build components of AI systems (agents, pipelines, evaluation tools), debug real systems, and work with engineers to ship features that reach users.
This is not a "watch and learn" program. You are expected to build, contribute, and ship.
Contribute to the design and development of LLM-powered pipelines for agentic trading — including reasoning agent components, tool-use frameworks via MCP, and automated workflow execution across crypto markets.
Build and evaluate prompt engineering strategies, test-time scaling approaches, and retrieval architectures for crypto-native data sources — on-chain data, market feeds, news, and sentiment signals.
Design and run model evaluation experiments — defining quality metrics for agent reasoning in financial contexts, executing benchmarks, and synthesizing results into actionable findings.
Analyze agent performance characteristics in live trading scenarios — covering decision accuracy, latency, reliability, and adversarial robustness.
Apply AI-native development practices using agentic coding tools as a standard part of the engineering workflow — writing and executing Python code for strategy logic, data pipelines, and agent evaluation.
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
Expected graduation in 2026 or 2027.
Strong Python programming skills with demonstrated AI-native development practices — you use agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) as a core part of your workflow.
Foundational understanding of how large language models work — attention mechanisms, prompting, and the difference between standard generation and reasoning models.
Structured problem-solving approach and ability to operate independently on defined tasks.
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Own the full lifecycle of the Main App Search product at Binance, including Discovery Page, Search Result Page, etc.
Drive core business metrics such as trade conversion, CTR, and business traffic through systematic product iterations and roadmap planning.
Independently own requirements, write PRDs, coordinate engineering implementation, launch features, and track results end-to-end.
Collaborate closely with engineering, business, and data teams; respond and resolve online incidents and issues immediately as first responder.
Understand crypto user behavior deeply, differentiate new and experienced users, and optimize search experience and conversion accordingly.
3+ years experience working for search product features.
Ability to turn complex information requirements into clear product solutions, ensuring high data accuracy and low latency.
Outstanding collaboration and communication skills to work with cross-functional teams (Operations, Tech) to streamline search production and distribution workflows.
Bi-lingual in English and Mandarin for effective global stakeholder communication.
Bachelor’s degree in Computer Science, Engineering, Finance, or related field; technical or engineering background is a bonus for bridging product and tech challenges.
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- 7+ years of Java development experience, 5+ years of Spring Boot development experience.
- Experience in developing and integrating AI agents and skills, including building intelligent conversational agents and task automation components within Java-based microservices.
- Proficient in applying Model Context Protocol (MCP) to manage AI model interactions and context-aware data exchange in distributed systems.
- Strong understanding of AI concepts such as natural language processing (NLP), computer vision, and data-driven decision making, with the ability to leverage these in agent and skill development to optimize business processes and enhance system intelligence.
- Familiar with Spring Cloud, Hibernate, JPA, and other related technologies.
- Proficient in designing and implementing microservices architecture with experience in distributed systems development.
- Familiar with database technologies such as MySQL, PostgreSQL, MongoDB, and Redis.
- Familiar with CI/CD tools and processes, such as Jenkins and GitLab CI.
- Strong problem-solving and analytical skills, able to complete tasks independently.
- Excellent teamwork and communication skills.
- Experience with cloud services like AWS and Azure is preferred.
- Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.
- Familiar with TMS (Treasury Management System), especially with experience in financial and global payment-related functionalities.
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