Staff Reliability Engineer for AI Systems

Anthropic Limited

San Francisco (CA)

Hybrid

USD 325,000 - 485,000

Full time

12 hours ago

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Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space in San Francisco

Job summary

Anthropic Limited in San Francisco is seeking an AI Reliability Engineer to partner across teams and improve reliability for our Claude-serving stack. You will define objectives, design monitoring, and help build high-availability infrastructure across regions and clouds.

You will lead incident response for critical AI services, ensure rapid recovery, and drive systematic improvements. A strong background in distributed systems and SRE practices is essential, with experience in model serving a

Qualifications

Bachelor’s degree or equivalent required.
Experience with large-scale distributed systems or SRE.
Strong incident response and monitoring design.
Experience with ML model serving infrastructure is a plus.

Responsibilities

Develop and define Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity.
Design and implement monitoring and observability across the token path.
Assist in designing high-availability serving infrastructure across multiple regions and cloud providers.
Lead incident response for critical AI services, ensuring rapid recovery and continuous improvement.
Support reliability of safeguard model serving to meet safety commitments.