AD/AI Platform Engineer
Job Summary
In this position, you will lead the development of the foundation for AI services that support social transformation using cutting-edge technologies like LLM and AI agents. You will be responsible for designing and developing advanced autonomous AI agents and implementing ML pipelines to deploy models to production. This role offers a unique opportunity to act as a central figure in delivering and nurturing AI models to society, driving business growth from both technical and business perspectives.
Responsibilities
- Design and develop autonomous AI agents using LangGraph/ADK
- Implement MLOps pipelines for deployment and stable operation
- Drive social implementation of AI solutions
- Bridge technical execution with business growth
Required Skills
- Python or Java backend development
- Cloud infrastructure experience (AWS/GCP/Azure)
- LLM and ML model operations
- CI/CD and Infrastructure as Code
- Docker and Kubernetes
- Business level Japanese
Job Details
■ Job Description
In this position, you will lead the development of the foundation for AI services that support social transformation, utilizing cutting-edge technologies such as LLM and AI agents. You will be a central figure in delivering and nurturing AI models to society, driving the business from both a technical and business perspective.
■ Detailed Job Description
• AI Agent Development: You will be responsible for designing and developing advanced AI agents that think and act autonomously, utilizing advanced frameworks such as LangGraph and ADK.
• MLOps/LLM-Ops: You will design and implement ML pipelines to smoothly deploy AI models to the production environment and ensure stable operation. You will be involved in the entire process from development to operation and continuous improvement.
• Social Implementation of Technology: We utilize a wide range of AI technologies, including image analysis, natural language processing, and mathematical optimization, to provide solutions that address complex challenges.
• Bridging Technology and Business: Leverage your technical expertise to contribute to business growth.
■ Career Paths
Technical Expert: Lead the overall technical capabilities of the organization as a tech lead or senior engineer.
Management: Lead projects and organizations as a team leader or manager.
AI Specialist: Specialize in AI technology as an MLOps/LLM-Ops expert or AI scientist.
■ Working Hours
Full flextime system, 8 hours of work per day (160 hours per month / no core time).
■ Job Requirements
Required Qualifications:
- Experience in backend development of web applications (Python or Java).
- Experience in system development and operation in cloud environments (AWS, GCP, Azure, etc.).
Preferred Skills:
- Experience in development using AI agent frameworks (LangGraph, ADK, etc.).
- Experience in development and operation of large-scale language models (LLM) and machine learning models.
- Experience using public clouds (AWS, GCP, Azure).
- Experience in infrastructure construction and automation using IaC (Terraform) and CI/CD (GitHub Actions).
- Experience using container technologies (Docker/Kubernetes).
- Experience in web application (SPA) development.
- Experience as a development leader or project manager.
■ Qualifications
- English Level: None
- Japanese Level: Business Level (JLPT Level 2 or N2)