AI Engineer - Onsite Deployment & Automation

Shopee; Indonesia; On-site; IDR 357,120,000 - 892,800,000; Full time

Job summary

Shopee is seeking a seasoned AI/ML product builder to work on-site in our warehouses and with ops, finance, and accounting teams to understand how work is really done. You will turn vague requests into clear problems with measurable goals and help decide what to build first.

You’ll build end-to-end AI agents, computer vision solutions, dashboards and web tools, then own adoption from discovery to go-live, sharing results and trade-offs with non-technical stakeholders across sites and countries.

Qualifications

• 4+ years building and shipping software, data or ML products.
• Strong Python and SQL.
• Hands-on experience shipping LLM / AI products: prompt design, structured outputs, agents and tool use.
• Hands‑on computer vision experience: trained or deployed at least one vision model on real images or video.
• Deployment skills: Docker, cloud (any major provider), CI/CD.
• Able to build working web apps or dashboards.
• Happy to work on-site in warehouses regularly.
• Clear communication in Thai and English.
• Self‑driven: able to own a project with little supervision and pick the simplest thing that works.

Responsibilities

• Find the real problem by spending time with ops, finance and account teams.
• Turn vague requests into measurable goals with impact.
• Build AI agents and automation that operate inside business systems.
• Develop computer vision solutions from proof of concept to production.
• Write Python and SQL to connect operational data from multiple sources.
• Ship simple web apps, dashboards and chat tools used daily.
• Lead projects from discovery to go-live and measure impact.

Skills

Python

SQL

LLM AI

Computer Vision

Docker

Cloud CI/CD

Web Apps

English

Thai

Self-driven

Project ownership

Job description

Shopee is seeking a seasoned AI/ML product builder to work on-site in our warehouses and with ops, finance, and accounting teams to understand how work is really done. You will turn vague requests into clear problems with measurable goals and help decide what to build first.

You’ll build end-to-end AI agents, computer vision solutions, dashboards and web tools, then own adoption from discovery to go-live, sharing results and trade-offs with non-technical stakeholders across sites and countries.