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Nexus Corporation

AI Engineer (Cloud & Full-Stack Developer)

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Description

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.

Skills

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See also

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