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Binance Accelerator Program - Backend Engineer (AI Pro / Agent Infrastructure)
Binance
Remote, AUS
Internship
Entry
Remote
Discovered 2 weeks ago
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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 Binance's ecosystem.
As a Backend Engineer Intern , you'll work directly on the Agent Runtime and AI infrastructure behind these experiences — from intent routing and tool orchestration to evaluation, observability, and reliability. We're looking for strong technical students who enjoy going deep — people who are excited by LLM 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 from prototype → 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.
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