AI Engineer (Cloud & Full-Stack Developer)

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.