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臺北市, 臺灣
Onsite
Overview.ai is transforming manufacturing quality control with advanced edge-enabled AI vision system that combines cutting-edge deep learning with ease of use and quick setup. Our system handles a wide array of inspection tasks—from subtle assembly verification to defect detection and orientation checks—delivering real-time, high-accuracy inspections that seamlessly integrate into existing production lines.
Trusted by leading manufacturers like Ford, Honda, Toyota, SpaceX, Milliken, and Flex-N-Gate, our cameras enables faster throughput, reduced scrap, and lower inspection costs—without the complexity and expense of traditional vision systems.
The ideal candidate will have a strong background in software engineering and will develop web interfaces, ensuring the responsiveness of applications. This position will requiring good organizational skills and attention to detail to build the best possible product for our users. As a full stack engineer, this position will also encompass backend python development.
Be responsible for building, deploying, testing, and maintaining clean user interfaces for our product which manages the full AI data cycle, including capture, labelling, AI training, and operator interfaces
Work closely with our AI teams to prototype, test, and ship user-facing features, balancing user experience with product & engineering constraints
Work with technologies like: Typescript, React/Redux for web front end, Python for backend systems, Github, & Docker
Execute feature changes based on user feedback, recommend and execute improvements
Over four years of professional experience in full-stack software development.
Proven track record in designing, developing, and maintaining complex full-stack applications.
Experience or strong familiarity with the company’s technology stack, including React, TypeScript, Redux, Python, PostgreSQL, and Ant Design.
Advanced proficiency in front-end development with React and CSS, as well as expertise in Python, database technologies, and Docker containerization.
Experience developing software for resource-constrained environments such as Raspberry Pi is highly desirable.
Prior exposure to WebAssembly and sandboxed environments is considered an asset.
Experience working with low-level hardware such as Linux single-board computers (SBCs) or GPUs is advantageous.
Previous experience in a startup environment is a plus.
Strong proficiency in English, both written and verbal, to effectively collaborate in a cross-functional, international team.
