The opportunity
AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside…
What you'll do
Develop appropriate Service Level Objectives for large language model serving: systems, balancing availability and latency with development velocity
Design and implement monitoring and observability systems across the token path
Assist in the design and implementation of high-availability serving: infrastructure across multiple regions and cloud provider
Lead incident response for critical AI services, ensuring rapid recovery,: thorough incident reviews, and systematic improvements
Support the reliability of safeguard model serving -: critical for both site reliability and Anthropic's safety commitments.
Have strong distributed systems, infrastructure, or reliability backgrounds: -- we're looking for reliability-minded software engineers and SREs
What they're looking for
- Are curious and brave -: comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet
- Think holistically about how systems compose and where the seams are
- Can build lasting relationships across teams -: our engagement model depends on being welcomed as teammates, not outsiders with opinions
- Care about users and feel ownership over outcomes, even for systems you don't own
