Asst. Supervisor Product Engineer (IT & Solutions Design)

Job Descriptions:

•          Understand user needs and business processes, then translate them into technical solutions.

•          Build modern web applications across frontend and backend.

•          Develop REST APIs and integrate applications with databases and enterprise systems such as Warehouse Management System (WMS), SAP, and ERP.

•          Develop and implement AI solutions, including Generative AI, AI Agents, Computer Vision, OCR, and Video Analytics.

•          Build workflow automation using tools such as n8n, Make, Zapier, APIs, and Webhooks.

•          Design and optimize SQL queries and databases.

•          Troubleshoot, debug, and continuously improve applications.

•          Leverage AI-assisted development tools such as ChatGPT, Cursor, Claude, GitHub Copilot, or similar tools.

Requirements :

•          Bachelor's degree in Computer Science, IT, Software Engineering, Informatics, or related fields. 

•          Strong programming and software engineering fundamentals.

•          Understanding of Frontend & Backend development.

•          Good knowledge of SQL & Database Management.

•          Understanding of REST API, JSON, and system integration.

•          Basic understanding of AI / Machine Learning.

•          Strong analytical and problem-solving skills.

•          Good communication skills and willingness to learn.

•          Willingness to be assigned to different locations based on project requirements

•          and customer needs.

Adding Requirements :

•          Experience with Golang, Node.js, Python, Vue.js, React.js, Next.js, or Similar Backend & Frontend Framework

•          Experience building and deploying web applications.

•          Experience with Computer Vision, OCR, Object Detection, or Video Analytics.

•          Experience with LLMs, RAG, AI Agents, Vector Databases, or AI-powered applications.

•          Experience with n8n, Make, Zapier, or similar workflow automation platforms/tools.

•          Experience with Webhooks, API orchestration, MCP, or event-driven workflows.

•          Experience with Warehouse Management System (WMS), SAP, ERP, or enterprise system integration.

•          Experience with Docker, Git, CI/CD, Linux, or Cloud platforms.

•          Experience using AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar tools.