✦ Luna Orbit — AI & Machine Learning

Software Engineer, Cloud Inference Safeguards

at Anthropic

📍 San Francisco, CA | Seattle, WA Unknown Posted March 28, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Bachelor’s degree in Computer Science or related field
Category AI & Machine Learning

This role involves building and operating safeguards infrastructure for AI models deployed on third-party cloud platforms. The engineer will develop real-time detection and enforcement systems to ensure AI safety and compliance.

  • Build safeguards infrastructure
  • monitor model behavior
  • develop telemetry pipelines
  • implement enforcement hooks
  • collaborate with CSP teams

The position requires expertise in Python, AI/ML, telemetry pipelines, cloud inference stacks, and real-time safeguards. Familiarity with CSP platforms and distributed systems is preferred.

The ideal candidate is a mid-level AI or machine learning engineer with 3+ years of experience in deploying and monitoring AI models, especially within cloud environments. They should have strong problem-solving skills and experience with real-time systems and telemetry pipelines.

building and deploying safeguards infrastructuremonitoring model behaviordeveloping telemetry pipelinesworking with cloud inference stacksowning architecture for safeguards
experience with CSP platformslatency optimizationsecurity incident responseenforcement hooksdistributed systems
CSP platformstelemetry pipelinesenforcement mechanisms
Pythonmachine learningAImodel monitoringtelemetry pipelinescloud inferencereal-time safeguardsdetection signalsenforcement policies
PythonMachine LearningAIModel MonitoringData ResidencyTelemetry pipelinesEnforcement policiesCloud inferenceReal-time safeguardsDetection signals
collaborationproblem-solvingattention to detailoperational excellencecommunication
Industry Technology / AI / Cloud
Job Function AI model safety and enforcement in cloud environments
Role Subtype AI Engineer
Tech Domains Python, Cybersecurity, Cloud Platforms, Distributed Systems
AI safetymachine learningmodel monitoringtelemetry pipelinescloud inferencereal-time safeguardsdetection signalsenforcement policiescloud platformslatency optimizationsecurity incident responsedistributed systemsCSP platformsoperational on-callmodel behavior monitoring

Lack of experience with cloud inference platforms, No background in AI safety or model monitoring, Inability to work in a distributed cloud environment

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