Principal Software Engineer - AI Systems Observability

About this kind of role

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

Typically does: This role focuses on building and maintaining systems that monitor and analyze the performance of artificial intelligence applications. Responsibilities include designing and implementing observability solutions, troubleshooting complex issues, and collaborating with AI development teams to improve system reliability. A Principal Software Engineer in this area often leads technical initiatives and mentors other engineers. They are expected to have a deep understanding of both software engineering and AI principles.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, Azure, GCP), familiarity with monitoring tools (e.g., Prometheus, Grafana), and a strong understanding of statistical analysis are typically required.

Good fit for: Individuals with a strong background in software engineering, a passion for AI, and excellent problem-solving skills often thrive in this role.