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AI Agent Engineer (AI)

Формат работы
remote (только APAC)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
AI Agent Engineer (AI): Building AI agents, benchmark datasets, and backend infrastructure for real-world intelligent applications with an accent on agent integration, performance evaluation, and scalable deployment. Focus on implementing Python or Golang services, developing multi-agent orchestration, and optimizing systems for live environments.

Location: Asia; work-from-home arrangement may vary depending on the business team.

Company

Binance operates a global blockchain ecosystem covering cryptocurrency trading, digital asset products, payments, education, research, and Web3 services.

What you will do

  • Design and develop AI agents integrated into live systems.
  • Build and maintain benchmark datasets for evaluating AI performance.
  • Implement, test, and optimize backend services in Python or Golang.
  • Collaborate with senior engineers on system design, multi-agent orchestration, and deployment.
  • Participate in code reviews, debugging, and technical documentation.

Requirements

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field, or recently graduated.
  • Practical programming experience with Python, Go, TypeScript, or a similar language.
  • Understanding of data structures, algorithms, version control, and software engineering principles.
  • Familiarity with an AI agent framework such as LangChain, CrewAI, AutoGen, OpenClaw, or hermes-agent.
  • Interest in AI, data-driven systems, and real-world software applications.
  • Good communication skills and willingness to learn quickly.

Nice to have

  • Experience with LLMs, prompt engineering, or AI model-based tools.
  • Exposure to multi-agent systems or agent orchestration patterns.
  • Familiarity with Docker, cloud platforms, or CI/CD pipelines.
  • Machine learning knowledge.

Culture & Benefits

  • Three- to six-month accelerator internship for early-career talent.
  • Mentorship, networking, knowledge sharing, and hands-on learning.
  • Fast-paced projects with autonomy and opportunities for experimentation.
  • Global, user-centric organization with a flat structure.
  • Competitive salary and company benefits.
  • Work-from-home arrangement, subject to business-team requirements.

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