AI Engineer (Forward Deployed Engineer)

Department Business Intelligence and Data Analytics

LevelEntry Level

LocationBangkok

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

About the Team:

We are a small, fast-moving AI team inside Regional FBS (Fulfilled by Shopee), one of Southeast Asia's largest e-commerce warehouse networks. We don't build from a distance. We work side by side with warehouse, finance and seller teams, find the work that costs the most time, and replace it with AI that people actually use. You will work across AI agents, computer vision on warehouse CCTV, and automation of day-to-day business processes.

Job Description:

Find the real problem

• Spend time on-site in warehouses and with ops, finance and account teams to understand how work is really done.
• Turn vague requests into clear problems with a measurable goal (time saved, error rate, cost).
• Judge feasibility, effort and impact, and help decide what to build first.

Build and ship end-to-end

• Build AI agents and automation that do real work inside business systems: read documents, check rules, fill forms, update records and send messages, with the right human review.
• Build computer vision solutions on real camera and image data, from proof of concept to production.
• Write Python and SQL to connect operational data from many sources.
• Ship simple web apps, dashboards and chat tools that users touch every day.

Own adoption, not just delivery

• Run projects from discovery to pilot to go-live, working directly with users.
• Measure results after launch and keep improving until the goal is met.
• Explain technical trade-offs in simple language to non-technical stakeholders.
• Help roll out what works to more sites and countries.

Requirements:

• 4+ years building and shipping software, data or ML products used by real people.
• Strong Python and SQL.
• Hands-on experience shipping LLM / AI products: prompt design, structured outputs, agents and tool use, and knowing where LLMs fail.
• Hands-on computer vision experience: trained or deployed at least one vision model (e.g. object detection, tracking or OCR) 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…