Senior AI Reliability Engineer — Lead Incidents & LLM Serving

Anthropic; San Francisco (CA); On-site; USD 325,000 - 485,000; Full time

Job summary

Anthropic is seeking a Staff + Sr. Software Engineer, AI Reliability in San Francisco, California. The role focuses on developing robust systems for AI, collaborating with teams across the organization to enhance reliability.

Candidates should have strong backgrounds in distributed systems and infrastructure, along with excellent communication skills. The annual compensation ranges from $325,000 to $485,000 USD, with a minimum education requirement of a Bachelor's degree.

Qualifications

• Strong background in distributed systems, infrastructure, or reliability.
• Excellent communication and collaboration abilities.
• Experience in reliability-focused roles for large-scale systems.

Responsibilities

• Develop Service Level Objectives for large language model serving systems.
• Design and implement monitoring systems across the token path.
• Lead incident response for critical AI services.

Skills

Distributed systems

Infrastructure

Reliability-focused roles

Communication skills

Collaboration skills

Education

Bachelor’s degree or equivalent

Tools

AI-specific observability tools

ML hardware accelerators

Job description

Anthropic is seeking a Staff + Sr. Software Engineer, AI Reliability in San Francisco, California. The role focuses on developing robust systems for AI, collaborating with teams across the organization to enhance reliability.

Candidates should have strong backgrounds in distributed systems and infrastructure, along with excellent communication skills. The annual compensation ranges from $325,000 to $485,000 USD, with a minimum education requirement of a Bachelor's degree.