At a Glance
- Tasks: Design and implement monitoring for AI systems, ensuring reliability across various platforms.
- Company: Join Anthropic, a leader in AI technology focused on user trust and safety.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on innovation and excellence.
- Why this job: Make a real impact on AI reliability and user safety in a cutting-edge environment.
- Qualifications: Experience in system design, monitoring, and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
Anthropic is seeking an AI Reliability Engineer to help keep Claude reliable across serving paths—from SDK through network, APIs, and infrastructure.
You will design and implement monitoring, contribute to high-availability infrastructure across regions and clouds, and lead incident response for critical AI services.
The role emphasizes holistically understanding systems, strong collaboration, and ownership of outcomes, with a direct impact on user trust and safety commitments.
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AI Reliability Engineer – Scalable, Incident-Driven Systems employer: Anthropic
Anthropic is an exceptional employer for those passionate about advancing reinforcement learning in a collaborative and innovative environment. With competitive compensation, generous vacation and parental leave, and flexible working hours, employees enjoy a supportive work culture that prioritises both personal and professional growth. Located in a vibrant office space, team members have the unique opportunity to engage directly with cutting-edge research while making meaningful contributions to the responsible scaling of AI.
