Staff AI Reliability Engineer — Build Resilient ML Infra
Anthropic
Dublin
Hybrid
EUR 235,000 - 295,000
Full time
14 days+
Application generator
Turn this role into an interview — a resume and cover letter built around what this employer wants.
Get past ATS filters
Benefits offered by this job
Competitive compensation
Generous vacation and parental leave
Flexible working hours
Equity donation matching
Job summary
A leading AI research firm in Dublin seeks a Reliability Engineer to enhance the reliability of AI systems. Key responsibilities include developing service level objectives, designing monitoring systems, and leading incident responses for critical services. Ideal candidates should have a strong background in distributed systems or reliability engineering and be effective communicators. They value user outcomes and have experience with large scale model serving. Competitive salary range is €235,000 — €295,000, with a hybrid work policy.
Qualifications
Strong distributed systems or reliability backgrounds.
Comfortable in unfamiliar systems during incidents.
Holistic thinking about system composition and seams.
Responsibilities
Develop Service Level Objectives for serving systems.
Design monitoring and observability systems.
Lead incident response for critical AI services.
Skills
Reliability-minded software engineering
Distributed systems knowledge
Excellent communication
Collaboration across teams
Education
Bachelor's degree in a related field
Tools
AI-specific observability tools
GPUs
Job description
A leading AI research firm in Dublin seeks a Reliability Engineer to enhance the reliability of AI systems. Key responsibilities include developing service level objectives, designing monitoring systems, and leading incident responses for critical services. Ideal candidates should have a strong background in distributed systems or reliability engineering and be effective communicators. They value user outcomes and have experience with large scale model serving. Competitive salary range is €235,000 — €295,000, with a hybrid work policy.