About this role
We are seeking a hands-on AI Engineer with expertise in cloud technologies and full-stack development to build cloud-native applications and leverage AI to improve software development efficiency, quality, and automation.
Key Responsibilities:
- Design, develop, and maintain cloud-native and full-stack applications.
- Leverage AI technologies and tools to improve software development efficiency, quality, and automation.
- Design and implement AI-enabled development frameworks, accelerators, and best practices.
- Collaborate with business and technology teams to rapidly deliver high-quality software solutions.
- Contribute across the software development lifecycle, including architecture, development, testing, deployment, and support.
- Evaluate emerging AI technologies and identify opportunities to enhance engineering productivity and effectiveness.
- Promote modern engineering practices, automation, DevOps, and Agile delivery methodologies
- Support the adoption of AI-assisted development tools and frameworks within the engineering organization.
### Requirements
What are we looking for:
- Strong experience in software engineering, with expertise in cloud technologies and/or full-stack development.
- Solid programming and application design skills across modern technology stacks.
- Strong understanding of the software development lifecycle (SDLC), Agile delivery, DevOps, CI/CD, and software quality practices.
- Passion for hands-on development and technical problem-solving.
- Proven ability to learn new technologies quickly and adapt to evolving technology trends.
- Strong analytical and communication skills, with the ability to work effectively in cross-functional teams.
- Ability to collaborate effectively in a Japanese business environment.
- Native Japanese speakers are welcome, and English proficiency is not mandatory for this group.
- Non-Japanese candidates must have business-level Japanese communication skills.
Preferred Qualifications:
- Experience designing or implementing AI/GenAI solutions, AI agents, RAG architectures, or AI-powered automation.
- Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
- Experience with AI-assisted development tools and frameworks, such as GitHub Copilot, OpenAI, Azure AI Services, LangGraph, and LangChain.
- Background in the financial services or insurance industry.
- Experience working in large enterprise environments with modern engineering and governance practices.