AI Productivity Engineer — Dev Tooling & LLM Apps

Binance

United States

Remote

USD 90,000 - 130,000

Full time

14 days+
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Job summary

Binance is seeking an early‑career software professional to join the Pioneer Talent Program in the United States. The role focuses on designing and building AI productivity tools for internal engineering teams and LL-powered development scenarios.

You will gain hands-on experience through a tailored training curriculum and 1:1 mentorship, collaborating with engineers to improve workflows and deploy AI capabilities across the software lifecycle.

Qualifications

  • Bachelor's degree or above in Computer Science or a related field.
  • Proficient in at least one programming language (Python, Java, Go, JS).
  • Solid foundation in data structures and algorithms.
  • Basic understanding of LLMs and practical AI applications.
  • Experience with AI tools such as ChatGPT or Copilot.
  • Familiarity with backend/web development fundamentals.
  • Understanding of API integration and system integration principles.
  • Strong problem-solving and proactive, results-oriented work style.
  • Good communication and collaboration skills.

Responsibilities

  • Design and develop AI productivity tools for internal engineering teams.
  • BuildLLM-powered applications for development scenarios (code generation, understanding, testing).
  • Integrate AI across the software lifecycle to improve engineering efficiency.
  • Collaborate with engineering teams to identify bottlenecks and optimize workflows.
  • Explore approaches like Prompt Engineering, RAG, and AI Agents.
  • Track and adopt emerging AI technologies to enhance platform capabilities.

Skills

Programming languages
Data structures
LLMs knowledge
API integration
Backend/web fundamentals
Problem solving
Communication

Education

Bachelors in CS or related

Tools

ChatGPT
Copilot

Job description

Binance is seeking an early‑career software professional to join the Pioneer Talent Program in the United States. The role focuses on designing and building AI productivity tools for internal engineering teams and LL-powered development scenarios.

You will gain hands-on experience through a tailored training curriculum and 1:1 mentorship, collaborating with engineers to improve workflows and deploy AI capabilities across the software lifecycle.

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