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ML / AIGreenhouse job board

Staff Software Engineer, AI Reliability Engineering

Anthropic · 🇮🇪 Dublin, Ireland

Sponsorship Verification Proof

✓ 🇮🇪 Irish DETE Permit Sponsor

Employer is on the Irish DETE register of companies issued employment permits in 2026.

Irish DETE Register of Companies Issued Employment Permits (2026): listed as 'Anthropic Ireland Limited' — DETE 2026 employment permits issued (3 YTD)

An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.

The job posting also states: “Visa sponsorship: We do sponsor visas!”

Verification category
Employer on official sponsor register
Role category
ML / AI
Last verified
2026-10-25
First indexed
2026-10-25
Posted date
2026-02-05
ATS / Feed source
Greenhouse job board

Role Description (Excerpt)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. 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 partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities • 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…

Excerpt only — read the full requirements and apply directly on Anthropic's career page. We do not process applications.