Reliable AI Systems Professional

2 days ago

Dublin, Dublin City, Ireland beBeeEngineer Full time €235,000 - €355,000
Reliable AI Systems Engineer

About Anthropic

Anthropic aims to create safe and beneficial artificial intelligence systems. Our mission is to advance the capabilities of AI while ensuring reliability, interpretability, and controllability.

About the Role

We are seeking talented engineers with experience in reliability to join our team. Your primary responsibility will be defining and achieving reliability metrics for our internal and external products and services.

Key Responsibilities:

  • Develop Service Level Objectives for large language model serving and training systems.
  • Design and implement monitoring systems, including availability, latency, and other salient metrics.
  • Assist in designing high-availability language model serving infrastructure capable of handling millions of users.
  • Develop 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.

Requirements:

  • Extensive experience with distributed systems observability and monitoring at scale.
  • Understanding of the unique challenges of operating AI infrastructure, including model serving, batch inference, and training pipelines.
  • Proven experience implementing and maintaining SLO/SLA frameworks for business-critical services.

Benefits:

  • Competitive compensation and benefits package.
  • Optional equity donation matching.
  • Generous vacation and parental leave policies.
  • Flexible working hours.

How We Work

We believe that the highest-impact AI research will be big science. At Anthropic, we work as a single cohesive team on just a few large-scale research efforts, valuing impact over individual puzzles. As such, we greatly value communication skills.

Come Work with Us

Anthropic is a public benefit corporation headquartered in San Francisco. We offer a collaborative environment where you can contribute to groundbreaking AI research and development.

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