Full Stack Engineer (Backend Oriented)
New
B
BinanceAI infrastructure
Taiwan, Taipei; New Zealand, Auckland; New Zealand, Wellington; Australia, Brisbane; Australia, Melbourne; Australia, Sydney; Kuala Lumpur; Hong Kong; AsiaInternshipEntry
Salary not disclosed
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Job Details
- Required Skills
- PythonJavaAlgorithmsData StructuresCI/CD
Requirements
- Have strong Python or Java programming skills and solid software engineering fundamentals.
- Understand algorithms and data structures and be able to reason about system behavior and trade-offs.
- Have hands-on experience with LLM applications or agent systems through research, coursework, internships, or projects.
- Be familiar with RAG, tool calling, function calling, prompting, agent workflows, or LLM evaluation.
- Be comfortable working with real codebases, APIs, asynchronous services, testing, CI/CD, and code review.
- Bring strong debugging and analytical ability.
- Current university students and recent graduates may apply.
Responsibilities
- Build and improve Agent Runtime components, including intent routing, query rewriting, RAG, tool/skill orchestration, and multi-step agent workflows.
- Design and optimize Tool Server and Tool Calling capabilities, including tool discovery, execution, result handling, and integrations with web search, market data, and internal services.
- Develop evaluation datasets and harnesses to measure routing accuracy, answer quality, tool-use performance, and agent reliability.
- Investigate agent quality through failure analysis, regression detection, prompt and workflow optimization, and guardrail effectiveness.
- Improve observability and reliability with 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.
- Collaborate with Backend, Data Science, and Algorithm engineers to experiment, benchmark, and bring AI capabilities into production.
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