Appealing Points:

  • Lead AI and cloud transformation initiatives by designing Azure-based, agentic AI, and LLM-powered solutions from concept to production.
  • Drive end-to-end solution delivery by leading business workshops, defining MVPs, and collaborating with business, engineering, and architecture teams.
  • Work with cutting-edge technologies including Azure, Python, LangChain, Kubernetes, CI/CD, and cloud-native architectures while mentoring development teams.

Annual Salary: 7 Million Yen and above

    Job Responsibilities:

    • Support requirement clarification by asking practical questions, identifying assumptions, and helping break business needs into manageable technical tasks.
    • Develop proof of concepts, prototypes, MVP components, and production-ready features for AI and agentic applications.
    • Build and maintain Python services, APIs, data pipelines, LLM orchestration flows, prompt/context logic, and integration components.
    • Use GitHub Enterprise or equivalent tooling for source control, pull requests, code review, branching, and release collaboration.
    • Implement automated testing, CI/CD pipelines, containerized deployments, monitoring hooks, and environment configuration.
    • Collaborate with cloud, security, architecture, data, and operations teams to meet enterprise delivery standards.
    • Participate actively in agile ceremonies including daily standups, sprint planning, backlog refinement, demos, and retrospectives.
    • Document technical designs, setup steps, known limitations, operational runbooks, and support notes clearly.

    Job Qualifications:

    • Cloud-based development experience on Azure, AWS, Google Cloud, or similar platforms; Azure experience preferred.
    • Strong Python programming skills for backend development, data processing, automation, and AI application development.
    • Data engineering fundamentals, including data pipelines, APIs, structured/unstructured data handling, validation, and transformation.
    • Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar frameworks for LLM/agentic application development.
    • Understanding of LLM concepts including prompt engineering, context engineering, retrieval patterns, evaluation, and error analysis.
    • GitHub Enterprise, GitHub Actions, Azure DevOps, or equivalent source control and CI/CD tooling experience.
    • Docker and Kubernetes fundamentals for packaging, deployment, configuration, and runtime troubleshooting.
    • Testing and quality practices including unit tests, integration tests, regression checks, and secure coding basics.
    • MVP definition and delivery planning: ability to identify the minimum viable product, define scope boundaries, prioritize features, validate assumptions, and create a practical roadmap from prototype to production delivery.
    • Model Context Protocol (MCP) fundamentals and practical ability to implement or integrate MCP-based tools/resources for agentic applications.
    • Proactive communication: raises risks, blockers, assumptions, and progress clearly without waiting to be asked.
    • Curiosity and problem-solving mindset: investigates business context and technical root causes, not only assigned tasks.
    • Collaboration skills: works effectively with business users, senior engineers, architects, remote members, and vendors.
    • Learning agility: can quickly pick up new frameworks, cloud services, LLM patterns, and enterprise delivery standards.
    • Quality ownership: takes responsibility for maintainable code, clear documentation, testing, and operational readiness.
    • Ability to explain technical work in simple business language when needed.

    Preferred Qualifications:

    • Experience in insurance, financial services, customer service, call center, underwriting, claims, producer support, or policy administration projects.
    • Experience working with remote and overseas teams.
    • Japanese business communication ability is a plus for Japan-based stakeholder discussions.
    • Experience with RAG pipelines, vector search, knowledge article ingestion, conversation analytics, or AI evaluation frameworks.

    Langauge Required: Fluent level Japanese (JLPT N1) and Business level English proficiency

    Company Description:

    We are a technology-led software services company that fulfills technology companies' software product development needs worldwide. As a trusted partner of today’s enterprises, we build software solutions for the future. We aim to understand our customers' needs and aspirations to deliver software that aligns with their vision. We are passionate about creating future-ready software focusing on superior user experience and ultimate simplicity.Specializing in mobile, web, and cloud-based software development services across various industry verticals, we cater to customers globally. We focus on developing next-generation software products that require a deep understanding of communication networks, operating system internals, device diversity, and critical system resources. Our core strength lies in combining these engineering environments to create cutting-edge software solutions.


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