
About Anthropic
Building safe and reliable AI systems for everyone
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Raised $29.3 billion in funding, including $13 billion Series F
- Over 1,000 employees focused on AI safety and research
- Launched Claude, an AI chat assistant rivaling ChatGPT
Anthropic, headquartered in SoMa, San Francisco, is an AI safety and research company focused on developing reliable, interpretable, and steerable AI systems. With over 1,000 employees and backed by Google, Anthropic has raised $29.3 billion in funding, including a monumental Series F round of $13 b...
🎁 Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
🌟 Culture
Anthropic's culture is rooted in AI safety and reliability, with a focus on producing less harmful outputs compared to existing AI systems. The compan...
Skills & Technologies
Overview
Anthropic is hiring a Senior AI Engineer to enhance the reliability of AI systems. You'll work with Python, AWS, and Kubernetes to develop robust infrastructure for language model serving. This position requires significant experience in AI reliability engineering.
Job Description
Who you are
You have 5+ years of experience in software engineering, particularly in AI reliability or related fields — you've developed and maintained high-availability systems that serve millions of users and understand the intricacies of AI model deployment and monitoring. Your expertise in Python and cloud infrastructure allows you to design scalable solutions that meet demanding performance metrics.
You are familiar with AWS and have experience in deploying applications using Kubernetes and Docker — you understand how to leverage these technologies to create resilient systems that can handle varying loads and ensure uptime. Your knowledge of monitoring tools like Prometheus and Grafana enables you to implement effective observability practices, ensuring that systems are not only functional but also optimized for performance.
What you'll do
In this role, you will develop Service Level Objectives for AI model serving and training systems, balancing availability and latency with development velocity. You will design and implement monitoring systems that track key metrics such as availability and latency, ensuring that the AI systems perform reliably under load. You will assist in creating high-availability infrastructure capable of supporting millions of external customers and high-traffic internal workloads, ensuring that the systems are robust and scalable.
You will lead incident response efforts for critical AI systems, working closely with cross-functional teams to resolve issues swiftly and effectively. Your role will involve developing automated failover and recovery systems for model serving deployments across multiple regions and cloud providers, enhancing the overall reliability of the AI services provided by Anthropic.
What we offer
At Anthropic, we provide competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in London, where you can work alongside a diverse team of researchers and engineers dedicated to building beneficial AI systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Anthropic.
Similar Jobs You Might Like
Based on your interests and this role

Ai Engineer
Anthropic is hiring a Senior AI Engineer to enhance the reliability of AI systems. You'll work with AWS, Python, and Kubernetes to develop monitoring systems and high-availability infrastructure. This position requires significant experience in AI reliability engineering.

Software Engineering
AssemblyAI is seeking a Senior Software Engineer to join their AI Data team, focusing on building robust and scalable AI models for speech recognition. You'll work with technologies like Python and Machine Learning to enhance their speech-to-text capabilities.

Ai Engineer
Anthropic is hiring an AI Engineer to enhance the reliability of AI systems. You'll work with technologies like Python, AWS, and Kubernetes to ensure robust service delivery. This position requires experience in AI reliability engineering.

Ai Engineer
9fin is hiring a Senior AI Engineer to accelerate the application of AI across teams and products. You'll design and build generative AI applications tailored to complex financial and legal workflows. This position requires expertise in machine learning and natural language processing.

Ai Engineer
Lendable is hiring a Senior AI Engineer to enhance internal automation and efficiency across teams. You'll work with machine learning and data analysis to drive impactful solutions. This role requires hands-on experience in AI technologies.