Software Engineer - AI Tooling

About this kind of role

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

Typically does: Develops and maintains software tools and infrastructure used to build, test, and deploy artificial intelligence models. This often includes creating pipelines for data processing, model training, and evaluation, as well as building tools to monitor model performance in production. Responsibilities can also involve optimizing AI workflows for efficiency and scalability, and collaborating with data scientists and machine learning engineers. The role frequently focuses on the engineering aspects of AI development rather than the AI model design itself.

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

Good fit for: Individuals with a strong software engineering background and an interest in the practical challenges of deploying and managing artificial intelligence systems often thrive in this role.