EngineeringHIRING
Founding Engineer (AI / Backend)
A backend engineer role to build and operate a multilingual, chat-based AI concierge system for inbound tourists to Korea.
- Location
- Seoul, South Korea
- Type
- Full-time
- Salary
- Negotiable
About this role
You will build and operate a multilingual, chat-based AI concierge system for inbound tourists to Korea.
This role owns Product 3: a temporary but strategically critical product that combines AI-assisted conversations with human intervention to guarantee high-quality concierge support and generate data for future automation.
This is a hands-on backend role, not an ML research position.
Responsibilities
What You Will Build
- A chat-based AI concierge on messaging platforms (LINE, WhatsApp)
- AI-assisted response generation using LLM APIs
- A human-in-the-loop control layer for real-time intervention
- Internal dashboards to monitor and manage conversations
- Systems to log user intent, AI responses, human actions, and outcomes
- Integrations that guide users toward booking flows on the platform
Core Responsibilities
- Design and implement backend services for messaging-based concierge
- Integrate LLM APIs for: response drafting, intent extraction
- Build operator-facing dashboards that allow: real-time visibility into all chats, AI override and human takeover
- Implement structured logging of conversations and outcomes
- Support multilingual operation: English / Japanese / Chinese
- Coordinate with the Platform Engineer to: surface relevant tours or services, hand off users to booking flows when appropriate
Requirements
Required Skills
- Strong backend engineering experience
- Experience working with LLM APIs
- Experience integrating chat or messaging platforms
- Comfortable building internal tools for operations
- Strong operational mindset (real users, real-time issues)
Must-have Tech Stack
- Backend development in Python or Node.js
- API framework (FastAPI, Express, or equivalent)
- Messaging APIs (LINE, WhatsApp, Telegram, etc.)
- LLM APIs (OpenAI or equivalent)
- Relational database for conversation and outcome logs
- Basic cloud deployment experience