Product Engineer (AI)

Location: Hybrid in Seoul, South Korea

Company

hirify.global is building proactive AI applications that help users manage conversations, errands, organization, and workflows with minimal prompting.

What you will do

• Define end-to-end requirements for AI capabilities across model behavior, system behavior, and user experience.
• Translate model capabilities, evaluation results, and technical constraints into product and system decisions.
• Balance quality, latency, cost, reliability, safety, and user experience.
• Collaborate with ML, backend, and client engineers on system design, evaluation, and iteration.
• Define evaluation frameworks using offline metrics, online experiments, and human feedback.
• Own product quality, including correctness, reliability, usefulness, predictability, and user trust.

Requirements

• Strong computer science fundamentals and system design skills.
• Solid understanding of modern ML and production AI systems.
• Experience owning complex technical products end-to-end.
• Hands-on experience with AI-powered products, particularly LLM-based systems.
• Experience with model evaluation, experimentation, prompting, or AI system iteration.
• Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans.

Nice to have

• Engineering background or experience as a highly technical product manager.
• Experience shipping AI-heavy consumer products.
• Experience defining evaluation metrics for ML systems.
• Experience with AI UX patterns, failure handling, and zero-to-one product environments.

Culture & Benefits

• Small, high-talent-density, hands-on team with broad ownership.
• Fast decision-making, independent execution, and close collaboration.
• Strong emphasis on engineering fundamentals, experimentation, and learning from real-world usage.
• Interviews are conducted via virtual meetings and/or onsite.
• Prompt hiring decisions after a process of three to four interviews.

Hiring process

• Applications are evaluated by technical team members.
• Expect three, and no more than four, interviews conducted virtually and/or onsite.
• A prompt decision follows the interview process.