AI Product Engineer

TL;DR

AI Product Engineer (AI): Develop experimental AI interfaces and prototypes focusing on proactive AI smart assistant workflows with an accent on multi-step reasoning, persistent context, and real-world task completion. Focus on building and testing innovative human-computer interaction models, transparency, trust, and multimodal input to enhance user collaboration with AI systems.

Location: Seoul, Korea, Hybrid

Company

hirify.global is building a proactive AI smart assistant designed to enhance everyday user interactions by integrating intelligence into conversations, errands, and workflows.

What you will do

• Prototype experimental AI interfaces beyond standard chat UI.
• Build quick proof-of-concept experiences using AI models, APIs, and frontend tools.
• Explore new ways for users to understand, direct, and collaborate with AI systems.
• Test interaction ideas around human control, trust, transparency, memory, multimodal input, and long-running workflows.
• Collaborate with product, design, and ML teams to turn early ideas into testable prototypes quickly.
• Document experiments clearly, including outcomes and recommendations for future development.

Requirements

• Experience prototyping at the intersection of design and technology, including creative technology, design engineering, or R&D roles.
• Ability to build functional prototypes using web technologies, APIs, or AI tools.
• Curiosity about AI system behavior and user mental models.
• Comfort moving between design thinking and hands-on building.
• Awareness of HCI principles, emerging UI patterns, and AI system limitations.
• Strong communication skills to explain experimental ideas and findings clearly.

Culture & Benefits

• Work in a high talent density, hands-on team with collective decision-making.
• Rapid development pace balancing quality and learning.
• Opportunity to contribute to a product impacting billions globally.
• Transparent and efficient hiring process with prompt decisions.

Hiring process

• 3 to 4 interviews conducted via virtual meetings and/or onsite.
• Evaluation by technical team members.
• Focus on skills and mindset fit for early-stage AI product development.