Senior Software Developer (AI Automation)

Project Prioritization & Planning Receive and review incoming AI/automation project requests from the PM and business stakeholders. Understand business objectives and translate vague requests into clear, actionable problem statements. Independently assess feasibility, effort, and impact to prioritize which projects to build and in what sequence.

Define the solution approach and select the right tools (n8n, Python scripts, AI APIs) for each use case. Development & Execution Build and maintain automation workflows using n8n, Python scripts, and AI tools — covering use cases such as automated reporting, data-triggered email notifications, line message automation and workflow orchestration.

Write SQL queries to extract, aggregate, and transform data from relational databases as inputs to automation pipelines. Ensure solutions are reliable, maintainable, and documented for handover or future iteration. Stakeholder Communication & User Immersion Work directly with business users to gather requirements in their own language and understand pain points at the ground level.

Accompany project launches end-to-end — from user discovery, through testing, to go-live — acting as the bridge between technical delivery and business adoption. Translate complex technical concepts into clear, simple language for non-technical stakeholders. Continuous Learning & Innovation Stay current with AI tools, automation platforms, and best practices relevant to e-commerce operations.

Propose new automation ideas based on observed business needs and emerging technology. Share knowledge and learnings with the team to uplift overall capability. Must Have Workflow automation — hands-on with n8n, Make, Zapier or equivalent. Python scripting proficiency for data manipulation and automation tasks. SQL skills — comfortable writing queries to extract, aggregate, and join data from relational databases.

Strong analytical thinking: able to break down a vague business problem into a structured, practical technical solution. Clear communication skills in Thai and English — able to explain technical concepts to non-technical stakeholders. Self-driven and independent: able to manage own deliverables with minimal supervision.

Genuine growth mindset — motivated to learn new tools and approaches on an ongoing basis. 4+ years building and shipping software or data products in a business environment. Web application development — you have built and deployed working web apps that other people used. Rapid-prototype tools (Streamlit, Retool, Lovable) plus the ability to build a proper front-end/back-end application when the use case demands it.

LLM and AI tooling in production — you have shipped something real using an AI API, not just used ChatGPT. Prompt design, structured outputs, and knowing where LLMs break. Cloud deployment (any major provider), Docker, CI/CD.

Nice to Have

Experience in e-commerce, marketplace, or logistics environments. Familiarity with AI/LLM tools (Claude, ChatGPT, Gemini) and prompt engineering basics. Background in engineering, computer science, statistics, or a related technical field.