Remote Backend Engineer Intern, AI Pro & Agent Infra

Binance; Singapore; On-site; SGD 22,000 - 45,000; Full time

Job summary

Binance Accelerator Program (BAP) internship offers hands-on experience in building AI-native experiences within Binance AI Pro. You will contribute to the Agent Runtime and AI infrastructure, from intent routing to tool orchestration, alongside senior engineers.

This role suits strong Python developers who enjoy deep systems work and experimentation with LLM agents. You will collaborate with Backend, Data Science, and Algorithm engineers to turn ideas into production features, with exposure to

Qualifications

• 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."

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.

Skills

Python programming

Algorithms

LLM/Agent systems

RAG

Tool calling

CI/CD

Debugging

Tools

Redis

Kafka

Docker

Kubernetes

Job description

Binance Accelerator Program (BAP) internship offers hands-on experience in building AI-native experiences within Binance AI Pro. You will contribute to the Agent Runtime and AI infrastructure, from intent routing to tool orchestration, alongside senior engineers.

This role suits strong Python developers who enjoy deep systems work and experimentation with LLM agents. You will collaborate with Backend, Data Science, and Algorithm engineers to turn ideas into production features, with exposure to