Software Engineer, Infrastructure AI

About this kind of role

What a Software Engineer, Infrastructure AI usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains infrastructure components that support artificial intelligence and machine learning applications. This includes building and scaling data pipelines, managing cloud resources, and ensuring the reliability and performance of AI systems. Responsibilities often involve automating infrastructure tasks, monitoring system health, and collaborating with data scientists and machine learning engineers. They may also work on optimizing resource utilization and implementing security best practices.

Tools and skills: Proficiency in programming languages like Python or Go, experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with containerization technologies like Docker and Kubernetes are common.

Good fit for: Individuals with a strong background in software engineering and a passion for building scalable and robust systems for AI applications typically thrive in this role.