Description
Summary We are enhancing a working semiconductor manufacturing intelligence platform that helps engineers spot yield drops, find root causes, and reuse past process knowledge. This is a backend-heavy role where you will strengthen investigation timelines, connect manufacturing events with maintenance records and yield signals, add practical historical search capabilities, and create a searchable repository for engineering notes and solutions. You will also connect lightweight LLM APIs to automatically generate summaries and highlight likely contributing factors. The focus is on delivering clean, maintainable PHP/Laravel code and getting improvements live quickly on the existing system. US-based freelancers only. We’re looking for strong Laravel backend experience with data-heavy applications; long-term engagement is possible for the right developer.