Software Engineer, AI

About Anthropic

Anthropic is dedicated to advancing the development of reliable, interpretable, and steerable artificial intelligence systems. Our mission is to ensure that AI technologies are safe, beneficial, and aligned with societal values. We are a rapidly expanding team comprising researchers, engineers, policy experts, and business leaders who collaborate to build AI solutions that serve the greater good. Our focus is on creating systems that are not only powerful but also transparent and controllable, fostering trust and safety in AI deployment across diverse applications.

About The Role

The AI Reliability Engineering (AIRE) team at Anthropic plays a crucial role in maintaining and enhancing the reliability of our AI systems, particularly the Claude language model. As a Reliability Engineer within AIRE, you will partner with cross-functional teams to ensure the robustness and resilience of our AI serving infrastructure. Your work will involve designing and implementing monitoring solutions, developing high-availability systems, and leading incident response efforts to maintain optimal system performance. This role offers a unique opportunity to influence the entire lifecycle of AI deployment, ensuring that our systems are dependable during normal operations and in times of incident. You will be at the forefront of building resilient infrastructure that supports our safety commitments and user trust, working in a dynamic environment that requires both technical expertise and strategic thinking.

Qualifications

• Bachelor’s degree or equivalent in a relevant field such as Computer Science, Electrical Engineering, or related disciplines
• Strong background in distributed systems, infrastructure, or reliability engineering
• Experience operating large-scale model serving or training infrastructure with over 1000 GPUs
• Familiarity with ML hardware accelerators (GPUs, TPUs, Trainium)
• Knowledge of ML-specific networking optimizations like RDMA and InfiniBand
• Proficiency with observability tools and frameworks tailored for AI systems
• Experience with chaos engineering and resilience testing methodologies
• Contributions to open-source infrastructure or ML tooling are a plus
• Excellent communication and collaboration skills with the ability to build cross-team relationships
• Demonstrated ownership and a user-centric mindset in system reliability
  
  

Responsibilities

• Develop and maintain Service Level Objectives (SLOs) for large language model serving systems, balancing availability, latency, and development velocity
• Design, implement, and improve monitoring and observability systems across the token processing pipeline
• Assist in designing and deploying high-availability serving infrastructure across multiple regions and cloud providers
• Lead incident response efforts for critical AI services, ensuring rapid recovery, thorough incident analysis, and systematic improvements
• Support the reliability and safety of safeguard model serving, aligning with Anthropic’s safety commitments
• Collaborate with engineering teams to optimize system performance and resilience
• Identify potential system vulnerabilities and implement proactive measures to mitigate risks
• Contribute to the development of best practices and standards for reliability engineering in AI systems
  
  

Benefits

• Competitive annual salary ranging from £325,000 to £390,000 GBP
• Comprehensive health, dental, and vision insurance plans
• Flexible work arrangements with a hybrid policy requiring at least 25% office presence
• Visa sponsorship available for eligible candidates
• Opportunities for professional growth and development within a pioneering AI company
• Collaborative and inclusive work environment fostering innovation and diversity
  
  

Equal Opportunity

Anthropic is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected status. We believe that a diverse team enhances our ability to innovate and achieve our mission of building safe and beneficial AI systems. All qualified applicants will receive consideration for employment without regard to any protected characteristic.