Sr. Software Engineer, Inference · Anthropic

Sat, 18 Apr 2026 16:00:17 GMT
Engineering

Anthropic · London, UK · £225,000-£325,000 GBP · hybrid

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

High-performance, large-scale distributed systems

Implementing and deploying machine learning systems at scale

Load balancing, request routing, or traffic management systems

LLM inference optimization, batching, and caching strategies

Kubernetes and cloud infrastructure (AWS, GCP)

Python or Rust

You may be a good fit if you:

Have significant software engineering experience, particularly with distributed systems

Are results-oriented, with a bias towards flexibility and impact

Pick up slack, even if it goes outside your job description

Want to learn more about machine learning systems and infrastructure

Thrive in environments where technical excellence directly drives both business results and research breakthroughs

Care about the societal impacts of your work

Representative projects across the org:

Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators

Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads

Building production-grade deployment pipelines for releasing new models to millions of users

Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage

Contributing to new inference features (e.g., structured sampling, prompt caching)

Supporting inference for new model architectures

Analyzing observability data to tune performance based on real-world production workloads

Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is £225,000-£325,000 GBP.