AI Platform Engineer (MLOps/LLMOps)
Core
Design, implement, and operate shared MLOps/LLMOps platforms, workflows, and guardrails to enable faster, safer, and sustainable AI product development and operations for Toyota's mobility teams.
Role type
Senior IC MLOps/LLMOps Platform Engineer
Builds
Shared AI platforms, CI/CD pipelines, model/data/experiment management systems, monitoring dashboards, and agent-based code review mechanisms
Domain
Automotive mobility, autonomous driving, cloud infrastructure, large language models (LLMs)
Deliverable
production ML models
Required skills
MLOps/LLMOps platform design, CI/CD automation, Infrastructure as Code, container orchestration, cloud services, Python, LLM system operations, observability (logs/metrics/traces), agent-based code review, feedback loop design
Preferred skills
AI quality evaluation, cost/latency/rate-limit optimization, AI safety and governance, AI agent workflows for engineering
Technologies
Python, CI/CD, Infrastructure as Code, containers, cloud platforms, observability tools
Responsibilities
Design and operate MLOps/LLMOps platforms and shared workflows; Build systems for model, prompt, and experiment traceability; Partner on feedback loops for AI quality evaluation; Monitor LLM output quality, safety, and latency; Establish testing and rollback mechanisms for LLM applications; Automate AI workloads using CI/CD and IaC; Implement agent-based code review and validation workflows
Seniority
Senior, hands-on IC
