Software Engineer - AI (KR)

Responsibilities

• Develop, deploy, and maintain scalable, reliable large-scale Image Metrology and Inspection services and platforms.
• Select and integrate appropriate libraries, tools, and infrastructure resources for development and production.
• Track and analyze how users interact with the platform and continuously improve the user experience.
• Contribute to technical knowledge-sharing and team growth through active learning and collaboration.
• Take ownership of building user-focused products with a self-driven and fast execution approach.

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
• Ability to independently develop and deploy services from the ground up.Experience applying libraries, infrastructure resources, or frameworks to real-world projects.
• Strong problem-solving skills and a commitment to user-centric product development.
• Passion for learning and sharing knowledge within a technical team.

Preferred Qualifications

• Skilled in rapid prototyping and iterative development processes.
• Broad expertise or experience across frontend, backend, and AI domains.
• Experience creating impactful user services in a data-driven environment using AI.
• Fundamental and practical understanding of machine learning and deep learning concepts.
• Experience implementing computer vision algorithms in real-world applications.
• Expertise with Docker, Kubernetes, Github Action, Helm, Argo CD, Airflow, and Prefect.
• Expertise with GPU-based model serving using tools such as Triton, TorchServe, TensorFlow Serving, Kubeflow, or ONNX to enable scalable AI model deployment.
• Experience developing and managing microservices architecture (MSA) in a Kubernetes-based cloud environment.
• Experience serving deep learning models in web environments.