Senior Product Manager shaping software development and collaboration platforms for Woven by Toyota and the Toyota Group. Define product strategy, roadmaps, requirements, and user outcomes.
About this role
The AI Platform Engineer builds shared MLOps and LLMOps foundations for AI product teams in Woven City. Rather than developing individual product features, the role creates reusable infrastructure, workflows, and safeguards for dependable development and operation across products. The work covers tracking models, prompts, agent settings, evaluation data, experiments, and releases; supporting evaluations, regression checks, and release decisions; and monitoring LLM quality, safety, consistency, latency, cost, and usage. It also includes CI/CD and infrastructure-as-code automation, tests, alerts and rollback, plus auditable validation and policy flows for agent-assisted code generation and review. Logs, metrics, traces, user feedback, and incidents feed quality improvement. Applicants need at least two years in MLOps, LLMOps, or platform engineering; experience building and operating workflows or infrastructure for LLM-based systems; automation experience using CI/CD, infrastructure as code, containers, or cloud services; and Python software development experience.
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