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5 дней назад

Product Engineer (Applied AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SK
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

Product Engineer (Applied AI): Serving as a technical advisor to customers adopting Claude, guiding architecture decisions, and developing evaluation frameworks. Focus on implementing cutting-edge LLM patterns, building prototypes, and ensuring safe, beneficial AI systems.

Location: Hybrid role based in Seoul, South Korea, requiring in-office presence at least 25% of the time. Visa sponsorship is available for qualified candidates.

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems for the benefit of society.

What you will do

  • Serve as a technical advisor to hirify.global customers from discovery through deployment of new products and workflows with AI models.
  • Partner with account executives to deeply understand customer product requirements and architect technical solutions.
  • Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API.
  • Develop customized pilots, prototypes, and evaluation suites to demonstrate value for customer deployment.
  • Lead hands-on technical workshops and code reviews with customer engineering teams.
  • Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.

Requirements

  • 4+ years of experience in technical roles such as Customer Engineer, Software Engineer, or Technical Product Manager.
  • Production experience with LLMs, including advanced prompt engineering, agent development, and evaluation frameworks.
  • Strong programming skills with proficiency in Python and experience building production applications.
  • Expertise working with common LLM implementation patterns, prompt engineering, and agent/retrieval frameworks.
  • Ability to navigate ambiguity and execute across domains with intellectual openness.
  • Exceptional communication skills to convey technical concepts to diverse stakeholders with a collaborative approach.

Culture & Benefits

  • Collaborative team working on a few large-scale AI research efforts.
  • Value impact, advancing long-term goals of steerable, trustworthy AI.
  • Competitive compensation and benefits, with optional equity donation matching.
  • Generous vacation and parental leave, flexible working hours.
  • Modern office spaces for collaboration with colleagues.
  • Passion for advancing safe, beneficial AI systems.

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