AI Platform Engineer (MLOps/LLMOps)

RESPONSIBILITIES

• Design, implement, and operate MLOps/LLMOps platforms and shared workflows
• Build systems that enable the management and traceability of models, prompts, agent configurations, evaluation data, experiment results, and release information
• Partner with AI Quality Evaluation Engineers and product development teams to build feedback loops that support evaluation execution, regression evaluation, and release decisions
• Build and operate mechanisms to visualize and monitor LLM output quality, safety, consistency, latency, cost, and usage
• Establish testing, monitoring, alerting, and rollback mechanisms to detect quality degradation and safety risks resulting from changes to LLM applications at an early stage
• Automate the development and operation of AI workloads using CI/CD, Infrastructure as Code, container and cloud platforms, and observability tools such as logs, metrics, and traces
• Design and implement systems that enable the safe and effective use of agents for code generation, modification, and review, including agent-based code review, validation workflows, policies, and auditability

MINIMUM QUALIFICATIONS

• 2+ years of professional experience in MLOps, LLMOps, or Platform Engineering
• Experience designing, implementing, and operating platforms that support the development, evaluation, deployment, and operation of LLM systems
• Experience automating development or operational processes using CI/CD, Infrastructure as Code, container technologies, and cloud services
• Software development experience using Python
• Business-level proficiency in both English and conversational-level Japanese

NICE TO HAVES

• Experience building feedback loops for AI quality improvement using user feedback, usage logs, evaluation results, support inquiries, incident information, and related data
• Experience designing and operating systems that consider cost, latency, rate limits, availability, and security when using LLM APIs
• Experience building mechanisms for AI safety, security, governance, and auditability
• Experience designing, introducing, and operating development-support systems that use AI agents for code generation, code review, testing, or related engineering workflows
• A proactive mindset and demonstrated ability to identify challenges in emerging technical areas and drive them from prototyping through the implementation of operationally sustainable solutions

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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER
・Competitive Salary - Based on experience
・Work Hours - Flexible working time
・Paid Holiday - 20 days per year (prorated)
・Sick Leave - 6 days per year (prorated)
・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
・Housing Allowance
・Retirement Benefits
・Rental Cars Support
・In-house Training Program (software study/language study)

Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.