Anthropic

5 months ago

Staff Software Engineer, AI Reliability Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Join the AI Reliability Engineering team to elevate the reliability of large language model serving and training systems. You’ll implement SLOs, build monitoring and high-availability infrastructure, automate failover across regions and clouds, lead incident response, and optimize cost for large-scale AI infrastructure, enabling reliable service for millions of external customers.

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity.
•Design and implement monitoring systems including availability, latency and other salient metrics.
•Assist in the design and implementation of high-availability language model serving infrastructure capable of handling the needs of millions of external customers and high-traffic internal workloads.
•Develop and manage automated failover and recovery systems for model serving deployments across multiple regions and cloud providers.
•Lead incident response for critical AI services, ensuring rapid recovery and systematic improvements from each incident

Pay and Benefits

Salary: EUR 235,000 - 295,000 annually

Key Requirements

•Extensive experience with distributed systems observability and monitoring at scale.
•Experience operating AI infrastructure including model serving, batch inference, and training pipelines.

Experience:AI infrastructureDistributed systemsCloud computing

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:GPUTPUTrainiumRDMAInfiniBandObservabilitySLOSLA

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

5 months ago

Staff Software Engineer, AI Reliability Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity.
•Design and implement monitoring systems including availability, latency and other salient metrics.
•Assist in the design and implementation of high-availability language model serving infrastructure capable of handling the needs of millions of external customers and high-traffic internal workloads.
•Develop and manage automated failover and recovery systems for model serving deployments across multiple regions and cloud providers.
•Lead incident response for critical AI services, ensuring rapid recovery and systematic improvements from each incident

Pay and Benefits

Salary: EUR 235,000 - 295,000 annually

Key Requirements

•Extensive experience with distributed systems observability and monitoring at scale.
•Experience operating AI infrastructure including model serving, batch inference, and training pipelines.

Experience:AI infrastructureDistributed systemsCloud computing

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:GPUTPUTrainiumRDMAInfiniBandObservabilitySLOSLA

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn