AI プラットフォームエンジニア (MLOps/LLMOps)
Core
Design, implement, and operate AI platform infrastructure and workflows to enable faster, safer, and continuous delivery of high-quality AI functions for Toyota's mobility products.
Role type
Senior MLOps/LLMOps Platform Engineer
Builds
Reusable AI platform infrastructure, CI/CD pipelines, monitoring systems, and feedback loops for model and LLM operations
Domain
Automotive mobility, AI/ML, Cloud infrastructure
Deliverable
production ML models
Required skills
MLOps, LLMOps, Platform Engineering, CI/CD, Infrastructure as Code, Containerization, Cloud services, Python, AI quality evaluation, Agent code review, Security and governance
Preferred skills
AI quality improvement feedback loops, LLM API cost/latency/security optimization, AI safety/governance mechanisms, AI Agent development support, Technical prototyping and adoption
Technologies
Python, CI/CD, Infrastructure as Code, Containers, Cloud platforms, Logging/Metrics/Tracing tools, LLM APIs
Responsibilities
Design and implement MLOps/LLMOps foundations and common workflows; Build mechanisms to track models, prompts, agent settings, evaluation data, and release info; Establish feedback loops with quality engineers for evaluation and release decisions; Build monitoring for LLM output quality, safety, consistency, latency, and cost; Automate testing, monitoring, alerting, and rollback for LLM app changes; Design and implement Agent code review and verification workflows
Seniority
Senior, hands-on IC with team leadership
