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46 минут назад

Senior Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (AI): Building scalable authentication services and AI products, including agent and conversational experiences, with an accent on reusable agent infrastructure, measurable AI output, and reliable cloud services. Focus on designing APIs, evals, tests, guardrails, and feedback loops across CI, code review, observability, and incident data.

Location: Taipei, Taiwan; onsite

Company

hirify.global is an Asia-Pacific shopping and rewards platform serving over 20 million active members across 13 markets and more than 20,000 online and in-store partners.

What you will do

  • Own products end to end, from ideation and design through development, testing, release, and operation.
  • Build reusable AI assets, including skills, tools, MCP servers, and agent workflows.
  • Create evaluations, tests, and guardrails that make AI output measurable and reliable.
  • Connect agents to CI, code review, observability, and incident data to create continuous improvement loops.
  • Design scalable APIs and services for authentication and AI products.
  • Lead projects, mentor engineers, collaborate with product, data, and design, and communicate technical trade-offs.

Requirements

  • Strong fundamentals in system design, data structures, testing, and debugging.
  • Demonstrated experience applying AI by building something, not only using AI tools.
  • Ownership, a positive attitude toward change, cross-functional collaboration, and strong learning velocity.
  • Experienced engineers must have built and operated cloud services.
  • Fresh graduates may demonstrate relevant experience through side projects, hackathons, internships, or open source.

Nice to have

  • Consumer-facing product experience.
  • Agent infrastructure at scale, including sandboxes, runtimes, orchestration, or permission models.
  • LLM-as-judge or evaluation pipelines.
  • Production AI features and experience managing cost, latency, and failure modes.
  • AI applications in the software development lifecycle, such as merge-request review, test generation, or incident triage.
  • Security, identity, or authentication systems experience.

Culture & Benefits

  • Full-time onsite work in Taipei, Taiwan.
  • AI is used as a core part of engineering, with an emphasis on agency, judgement, learning velocity, and tenacity.
  • Career growth opportunities and exposure to global scale.
  • Performance-based competitive compensation.
  • Open, candid, and collaborative culture with valued feedback.

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