Назад
15 дней назад

Golang Engineer (Recommendation Systems) - AI Agent Engineering

Формат работы
remote (только Hong_kong)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Golang Engineer (Recommendation Systems) - AI Agent Engineering (Golang/AI): Building high-throughput backend services for strategy, personalization, and recommendation engines that deliver real-time user experiences based on behavior metrics, with an accent on AI/LLM integration, user profiling, and distributed systems. Focus on designing data-processing endpoints, integrating agent workflows into production systems, and optimizing recommendation and personalization algorithms.

Location: Hong Kong; remote work arrangement

Company

Binance is a global blockchain ecosystem offering cryptocurrency trading, finance, payments, Web3, research, education, and digital-asset services.

What you will do

  • Design, build, and optimize backend logic for strategy and personalization engines that drive dynamic user interfaces.
  • Develop high-throughput data-processing endpoints for real-time experiences based on user lifecycle, engagement, and status.
  • Integrate AI and LLM workflows into production backend systems and support AI monitoring and observability.
  • Implement user-behavior-driven strategies with Data Analysts and Product Managers, tracking feature performance and algorithm effectiveness.
  • Collaborate with Frontend, DevOps, and QA squads to connect user-facing features with reliable backend infrastructure.
  • Maintain engineering standards, code quality, and thorough code reviews.

Requirements

  • 3–6 years of professional backend software development experience with recent production experience in Golang.
  • Experience with AI monitoring, observability tools, or agent engineering, including AI/LLM integration into backend systems.
  • Experience building data-driven backend systems, user profiling architectures, event tracking platforms, or user-behavior-driven applications.
  • Understanding of distributed systems, microservices, relational and NoSQL databases, and message brokers such as Kafka.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Strong communication skills and the ability to work in a fast-paced, product-focused environment.

Nice to have

  • Experience with recommendation systems, personalization engines, or A/B testing frameworks.

Culture & Benefits

  • Work-from-home arrangement; the arrangement may vary depending on the business team’s work.
  • Opportunity to work on blockchain and digital-asset products.
  • Flat, user-focused organization with autonomy on fast-paced projects.
  • Career growth and continuous learning opportunities.
  • Competitive salary and company benefits.

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