Remote Data Scientist: AI & LLM for Live Systems

Binance; Mackay Regional; Remote; AUD 50,000 - 75,000; Full time

Job summary

Binance Accelerator Program invites current university students and recent graduates to join a fixed-term AI-focused role. You will design and develop AI agents integrated into live systems, build benchmark datasets, and prototype workflows using LangChain or LangGraph while collaborating with senior engineers on system design, integration, and deployment.

Ideal candidates are pursuing AI or CS degrees, have hands-on Python experience, and familiarity with LLM development (prompt engineering,

Qualifications

• Currently pursuing a degree in Artificial Intelligence or Computer Science.
• Familiarity with LLM application development, prompt engineering and RAG.
• Hands-on experience with LLM frameworks such as LangChain or LangGraph.
• Strong Python programming fundamentals.
• Interest in AI and data-driven systems with real-world tooling.
• Good communication and quick learner mindset.
• Commitment of at least 6 months, 5 days per week.

Responsibilities

• Contribute to design and development of AI agents integrated into live systems.
• Help build and maintain benchmark datasets to evaluate AI performance.
• Design, prototype, and iterate AI agent workflows using LangChain/LangGraph.
• Collaborate closely with senior engineers on system design and deployment.

Skills

Python

LLM frameworks

Prompt engineering

RAG

Communication

Willingness to learn

Education

Currently pursuing AI or CS degree

Tools

LangChain

LangGraph

Job description

Binance Accelerator Program invites current university students and recent graduates to join a fixed-term AI-focused role. You will design and develop AI agents integrated into live systems, build benchmark datasets, and prototype workflows using LangChain or LangGraph while collaborating with senior engineers on system design, integration, and deployment.

Ideal candidates are pursuing AI or CS degrees, have hands-on Python experience, and familiarity with LLM development (prompt engineering,