Senior Software Engineer, AI Infrastructure - Developer Tooling

About this kind of role

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

Typically does: Designs, develops, tests, and maintains software and infrastructure components that support artificial intelligence and machine learning initiatives. This often includes building developer tools, automation pipelines, and platforms to streamline the AI development lifecycle. Responsibilities can also involve optimizing performance, ensuring scalability, and collaborating with data scientists and other engineers. Focus is on creating robust and efficient systems for AI model training, deployment, and monitoring.

Tools and skills: Proficiency in programming languages like Python and Java, experience with cloud platforms (AWS, Azure, or Google Cloud), and familiarity with DevOps practices, containerization technologies (Docker, Kubernetes), and version control systems (Git) are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling AI innovation through efficient and reliable infrastructure are typically successful in this role.