Staff AI Inference Systems Engineer

Mat Vin

Greater London

Hybrid

GBP 325,000 - 390,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Equity donation matching
Generous vacation and parental leave
Flexible working hours
Office space

Job summary

Anthropic in London, UK, is hiring a Staff Software Engineer for Inference to build scalable, high-performance distributed systems. You will work across the stack to serve Claude to millions of users, manage real-time workloads, and optimize inference infrastructure.

The role emphasizes Python or Rust proficiency, containerized environments (Kubernetes), and cloud platforms (AWS, GCP, Azure) within a hybrid office setting. Visa sponsorship available for capable candidates.

Qualifications

  • Experience designing and building large-scale distributed systems.
  • Proficiency in modern programming languages and systems software.
  • Experience operating in production-grade distributed inference infrastructure.

Responsibilities

  • Design, build, and maintain distributed systems serving Claude to millions of users.
  • Develop resilient, real-time adaptive systems for real-world events.
  • Develop intelligent routing, load balancing, and traffic management across accelerators.
  • Maximize compute efficiency via autoscaling and orchestration of workloads.
  • Build and operate production-grade deployment pipelines for models.
  • Provide high-performance inference infrastructure for research and development.
  • Integrate new AI accelerator platforms and support new model architectures.
  • Demonstrate proficiency in Python or Rust.

Skills

Python
Rust
Distributed systems
Kubernetes
AWS
GCP
Azure
Software engineering

Education

Bachelor0s degree

Tools

Python

Job description

Anthropic in London, UK, is hiring a Staff Software Engineer for Inference to build scalable, high-performance distributed systems. You will work across the stack to serve Claude to millions of users, manage real-time workloads, and optimize inference infrastructure.

The role emphasizes Python or Rust proficiency, containerized environments (Kubernetes), and cloud platforms (AWS, GCP, Azure) within a hybrid office setting. Visa sponsorship available for capable candidates.

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