Senior Backend Software Engineer, AI Observability & Evals Platform (SF)

About this kind of role

What a Senior Backend Software Engineer, AI Observability & Evals Platform (SF) usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains backend systems and APIs to support the observability and evaluation of artificial intelligence models. This includes building data pipelines, implementing monitoring solutions, and creating tools for evaluating model performance. Responsibilities often involve collaborating with data scientists, machine learning engineers, and frontend developers to deliver robust and scalable platform features. Focus is on ensuring the reliability, efficiency, and security of the underlying infrastructure.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (e.g., AWS, Azure, GCP), database technologies (SQL, NoSQL), and familiarity with DevOps practices and containerization technologies (Docker, Kubernetes) is common.

Good fit for: Individuals with a strong foundation in software engineering principles and a passion for building scalable and reliable systems that support machine learning workflows thrive in this role.