AI Platform Engineer - EZRA

EZRA is seeking an AI Platform Engineer (LLMOps) to build and operate the production AI platform powering its AI-first coaching features. Reporting to the VP of Engineering, you will ensure scalable, observable, secure, and reliable AI systems.

• Design, build, and operate the AI runtime platform, including deployment pipelines, environment configuration, and scaling strategies. Implement observability and monitoring across AI systems with dashboards, alerting, and incident response. Manage prompt and model configuration lifecycle, including versioning, approvals, routing logic, and rollback mechanisms. Ensure security and compliance through access controls, auditability, and safe data handling. Optimize performance and cost via usage monitoring, caching strategies, and capacity planning.

• 6+ years of experience in platform engineering, DevOps/SRE, or backend operations for production systems. Hands-on experience building CI/CD pipelines and managing cloud infrastructure in production. Strong understanding of observability practices (metrics, logging, distributed tracing) and incident management workflows. Familiarity with operational considerations for AI/LLM systems (latency, rate limits, token usage, cost drivers). Experience managing infrastructure or configuration changes through code review and controlled release processes. Experience optimizing system reliability, performance, and cost in production.