Staff Engineer, Inference at Scale

Anthropic

Dublin

Hybrid

EUR 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Flexible working hours
Generous vacation and parental leave
Office space for collaboration

Job summary

A technology company focused on AI in Dublin is seeking a Staff Software Engineer for the Inference team. You will optimize infrastructure to serve AI models to millions of users. Candidates should have experience in performance optimization and distributed systems. This role offers opportunities to contribute to impactful AI research and requires at least a Bachelor's degree. Hybrid work is expected part-time in the office.

Qualifications

  • Significant software engineering experience, particularly with distributed systems.
  • Results-oriented, with a bias towards flexibility and impact.
  • Willing to pick up slack, even if it goes outside your job description.
  • Desire to learn more about machine learning systems and infrastructure.
  • Able to thrive in environments where technical excellence drives business results.

Responsibilities

  • Identify and address key infrastructure blockers.
  • Serve Claude to millions of users.
  • Enable breakthrough AI research.
  • Design intelligent routing algorithms.
  • Autoscale compute fleet to match supply with demand.

Skills

Performance optimization
Distributed systems
Large-scale service orchestration
Intelligent request routing
Load balancing
Request routing
Traffic management systems
Kubernetes
Cloud infrastructure (AWS, GCP)
Python
Rust

Education

Bachelor's degree in a related field

Job description

A technology company focused on AI in Dublin is seeking a Staff Software Engineer for the Inference team. You will optimize infrastructure to serve AI models to millions of users. Candidates should have experience in performance optimization and distributed systems. This role offers opportunities to contribute to impactful AI research and requires at least a Bachelor's degree. Hybrid work is expected part-time in the office.
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