Backend Engineer (AI Pro / Agent Infrastructure)

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, and integration with web search and market data.
• Develop evaluation datasets and harnesses to measure routing accuracy, answer quality, tool-use performance, and agent reliability.

Requirements:

• Strong Python programming skills and solid software engineering fundamentals.
• Hands-on experience with LLM applications or Agent systems through research, coursework, or projects.
• Familiarity with concepts such as RAG, Tool Calling, Function Calling, and Agent workflows.

What You'll 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.
• Gain hands-on experience across the modern LLM application stack: Agent Runtime, RAG, Tool Calling, Evaluation, LLMOps, and AI Safety.