AI Platform Engineer (MLOps/LLMOps)

The role builds shared MLOps and LLMOps capabilities for Woven City product teams. It partners with product developers, ML engineers, security, and cloud infrastructure stakeholders to create a reusable AI platform rather than developing individual product features. Work includes tracking models, prompts, agent configurations, evaluation data, experiments, and releases; automating workflows with CI/CD, infrastructure as code, containers, and cloud services; and operating monitoring, alerting, and rollback. The engineer builds feedback loops from user feedback, usage logs, evaluations, incidents, and failures, monitors AI output quality, safety, consistency, latency, and cost, and establishes validation policies and auditable agent workflows for code generation and review. Applicants need at least two years of professional experience in MLOps, LLMOps, or Platform Engineering; experience designing, implementing, and operating platforms for LLM development, evaluation, deployment, and operations; experience automating processes with CI/CD, infrastructure as code, container technologies, and cloud services; and software development experience using Python.