Senior Software Engineer II - LLM Observability

About this kind of role

What a Senior Software Engineer II - LLM Observability usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software solutions focused on monitoring and analyzing large language models. This role involves building tools and systems to track LLM performance, identify issues, and improve reliability. Responsibilities often include creating dashboards, alerts, and automated reporting to provide insights into model behavior. Collaboration with data scientists and machine learning engineers is common to ensure observability supports model development and deployment.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with monitoring tools (e.g., Prometheus, Grafana) are generally required, alongside strong skills in data analysis and software engineering principles.

Good fit for: Individuals with a strong background in software development and a passion for machine learning, particularly those interested in ensuring the quality and stability of complex AI systems, often thrive in this role.