Sundayy
Software Engineer, AI
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About Anthropic
Anthropic is dedicated to developing reliable, interpretable, and steerable artificial intelligence systems with the goal of ensuring AI safety and societal benefit. Our mission is to create AI that is trustworthy and beneficial for users and society at large. We are a rapidly expanding team comprising researchers, engineers, policy experts, and business leaders who collaborate closely to build advanced AI systems that prioritize safety, reliability, and transparency. Our innovative approach emphasizes responsible AI development, emphasizing robustness and alignment to address the challenges and opportunities presented by cutting-edge AI technologies.
About The Role
We are seeking a highly skilled Reliability Engineer to join our AI Reliability Engineering (AIRE) team. In this role, you will play a crucial part in ensuring the robustness and resilience of Claude, our flagship AI model, and related systems. Your primary responsibility will be to maintain and enhance the reliability of our AI serving infrastructure, which spans across multiple regions and cloud providers. You will collaborate with cross-functional teams to design, implement, and monitor systems that support high availability and low latency for our large language models. As a Reliability Engineer, you will lead incident response efforts, develop service level objectives, and support the safety-critical aspects of model deployment. This position offers a unique opportunity to work at the intersection of infrastructure, AI systems, and reliability, providing broad exposure to complex distributed systems and cutting-edge AI deployment challenges.
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Qualifications
- Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field
- Strong experience in distributed systems, infrastructure, or reliability engineering
- Experience operating large-scale model serving or training infrastructure (>1000 GPUs preferred)
- Proficiency with cloud platforms and multi-region deployment strategies
- Knowledge of ML hardware accelerators such as GPUs, TPUs, or Trainium
- Understanding of ML-specific networking optimizations like RDMA and InfiniBand
- Experience with observability tools and frameworks tailored for AI systems
- Familiarity with chaos engineering and resilience testing methodologies
- Contributions to open-source infrastructure or ML tooling are a plus
- Excellent communication and collaboration skills
- Ability to build strong cross-team relationships and work effectively in a dynamic environment
Responsibilities
- Develop and maintain Service Level Objectives (SLOs) for large language model serving systems, balancing availability, latency, and development velocity
- Design, implement, and enhance monitoring and observability systems along the token processing path
- Architect and support high-availability serving infrastructure across multiple regions and cloud providers
- Lead incident response efforts for critical AI services, ensuring rapid recovery and thorough post-incident reviews
- Collaborate on safeguarding model serving systems, supporting safety and reliability commitments
- Identify system bottlenecks and areas for improvement, proposing scalable solutions
- Support systematic resilience testing and chaos engineering initiatives
- Engage with cross-functional teams to ensure reliability standards are met and exceeded
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Benefits
- Competitive annual salary ranging from £325,000 to £390,000 GBP
- Comprehensive health and wellness benefits
- Flexible work arrangements with a hybrid policy requiring at least 25% office presence
- Visa sponsorship available for qualified candidates
- Opportunities for professional growth and development in cutting-edge AI systems
- Collaborative and innovative work environment with a mission-driven focus
Equal Opportunity
Anthropic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse perspectives foster innovation and excellence, and we encourage individuals from all backgrounds to apply.
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