Ai Engineer • Mid-Level

Who you are

You have a strong background in AI reliability engineering, with experience in developing Service Level Objectives for large language model serving systems. You understand the balance between availability, latency, and development velocity, and you have a knack for designing and implementing monitoring and observability systems across complex infrastructures.

You are skilled in incident response for critical AI services, ensuring rapid recovery and maintaining high availability across multiple regions and cloud providers. Your collaborative spirit allows you to work effectively with cross-functional teams, making you a key player in enhancing system reliability.

What you'll do

In this role, you will partner with various teams at Anthropic to improve the reliability of AI systems. You will develop and implement Service Level Objectives that align with the company's mission to create safe and beneficial AI. Your responsibilities will include designing monitoring systems that provide visibility into the performance of AI services and leading incident response efforts to ensure quick recovery from outages.

You will also collaborate with engineering teams to enhance the robustness of the systems that deliver Claude, Anthropic's AI model. This involves working on high-availability serving infrastructure and ensuring that the systems are resilient against failures. Your role will require you to zoom out and look at the entire system architecture, identifying areas for improvement and implementing solutions that enhance reliability.

What we offer

Anthropic offers competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in San Francisco, where you can work alongside a dedicated team of researchers and engineers committed to building beneficial AI systems.