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2 месяца назад

Backend Software Engineer (AI Infrastructure)

180 000 - 250 000SGD
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Backend Software Engineer (AI Infrastructure): Designing and developing core backend systems for a high-performance generative AI platform with an accent on efficiency, scalability, and stability for AI workloads. Focus on building enterprise-grade machine learning systems, optimizing compute, storage, and networking infrastructure, and solving low-latency inference and scalable model serving challenges.

Location: Singapore

Salary: SGD 180K–SGD 250K plus equity

Company

hirify.global provides generative AI infrastructure for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

  • Design and build core backend components for a high-performance generative AI platform.
  • Ensure backend systems are efficient, scalable, and stable in their use of system resources.
  • Analyze and optimize infrastructure efficiency for AI workloads across compute, storage, and networking.
  • Conduct design and code reviews.
  • Collaborate with cross-functional teams on AI infrastructure development.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 3+ years of experience working with machine learning infrastructure such as PyTorch, Vertex AI, or SageMaker.
  • Experience building, scaling, and optimizing enterprise-grade machine learning systems.
  • Experience in AI or large-scale infrastructure.

Nice to have

  • Master’s or PhD degree in Computer Science, Computer Engineering, or a relevant technical field.

Culture & Benefits

  • Opportunity to work on low-latency inference and scalable model serving.
  • Work with advanced generative AI infrastructure and open models.
  • Collaborate with experienced engineers and AI researchers.
  • Equity offered as part of compensation.
  • Inclusive, equal-opportunity work environment.

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