AI & LLM Data Scientist (Accelerator)

Binance

Gladstone Regional

Remote

AUD 55,000 - 75,000

Full time

5 days ago
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Benefits offered by this job

Work-from-home arrangement

Job summary

Binance Accelerator Program (BAP) invites current university students and recent graduates to dive into the Web3 space. You will contribute to AI agent integration in live systems, build benchmark datasets, and prototype agent workflows using LangChain and LangGraph while collaborating with senior engineers on system design and deployment.

The program emphasizes networking, development, and transferable skills to propel your career, with a flexible work-from-home arrangement and a competitive

Qualifications

  • Pursuing AI or CS degree or related field.
  • Familiarity with LLM development incl. prompt engineering and RAG.
  • Hands-on with LLM frameworks (LangChain, LangGraph) is a plus.
  • Strong Python programming fundamentals.
  • Interest in AI and data-driven systems.
  • Good communication and quick learner.
  • 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, or similar frameworks.
  • Collaborate closely with senior engineers on system design, integration, and deployment.

Skills

Python
LLM frameworks
Prompt engineering
RAG
Communication
Commitment 6 months

Education

Pursuing AI/CS degree

Tools

LangChain
LangGraph

Job description

Binance Accelerator Program (BAP) invites current university students and recent graduates to dive into the Web3 space. You will contribute to AI agent integration in live systems, build benchmark datasets, and prototype agent workflows using LangChain and LangGraph while collaborating with senior engineers on system design and deployment.

The program emphasizes networking, development, and transferable skills to propel your career, with a flexible work-from-home arrangement and a competitive

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