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8 дней назад

Software/AI Engineer

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Malaysia
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
Software/AI Engineer (AI): Leading end-to-end software projects for manufacturing automation, including AI-driven systems, RPA, agentic solutions, and full-stack development with an accent on scalable, secure production deployments. Focus on designing machine learning and computer vision workflows, managing cloud infrastructure and CI/CD pipelines, and validating coding-assistant outputs for quality and security.

Location: Penang, Malaysia; onsite, full-time

Company

hirify.global's engineering function develops AI, automation, and software solutions for the manufacturing industry.

What you will do

  • Lead software initiatives end to end, from problem definition and stakeholder consultation through architecture, deployment, and maintenance.
  • Develop custom full-stack applications, RPA solutions, AI-driven systems, and agentic solutions.
  • Design and implement AI models, machine learning workflows, and agentic architectures for production environments.
  • Manage Linux-based cloud infrastructure, Docker environments, and CI/CD pipelines.
  • Ensure scalability, performance, security, clean code, documentation, data safety, and compliance.

Requirements

  • Experience in software development or AI engineering; the required experience duration is not specified.
  • Strong Python skills; experience with other programming languages is optional.
  • Experience with Linux-based cloud infrastructure and Docker.
  • Knowledge of agentic AI, machine learning, and computer vision.
  • Ability to independently own projects end to end and rapidly learn new frameworks.
  • Proven ability to use coding assistants productively while critically validating their outputs for quality and security.

Culture & Benefits

  • Work is focused on automation and AI applications in manufacturing.
  • Development practices emphasize clean code, comprehensive documentation, data safety, security, and compliance.
  • Continuous learning and staying current with emerging AI innovations are expected.

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