AI Engineer (Forward Deployed Engineer)

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.

• 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 that works.