About PayPay
PayPay is a fintech company that has exceeded 70 million users in approximately seven years since its service launch in 2018. It is comprised of diverse members from around 50 countries and regions. We leverage the latest technologies, including AI, and data to achieve rapid service development and business growth. We are passionate about promoting the widespread adoption of cashless payments and a financial life platform in Japan, and we are looking for colleagues who will work with us to create new value for our users.
PayPay Corporate Engineering
Rapid service growth and organizational expansion necessitate quick updates to business flows and systems. PayPay's Corporate Engineers are responsible for in-house development of business systems that support all areas of PayPay, including merchant, customer, and authority domains. With the mission to "contribute to the company's growth through technology," we drive development and business efficiency at an overwhelming pace. This department includes members with various roles involved in in-house development, from IT strategy formulation to full-scratch application development and infrastructure engineering, working as one team.
About the Role
AI Transformation Department
Our mission in the AI Transformation Department is to "redefine operations using AI technology to further improve business productivity." Currently, we have an organizational culture where software engineers proficient in AI and web application development, project managers, and members with different backgrounds respect each other's technical knowledge and proceed with agile and flat discussions and development.
Background for Recruitment
PayPay is currently strongly promoting the introduction of AI Agents as a key to company-wide productivity improvement. However, AI technology evolves rapidly, and the biggest bottleneck is "designing the right questions (requirements definition)" on how to solve on-site "problems" with AI. Therefore, we have established a new role, "Forward Deployed Engineer (FDE)," who will stand between the development department and the front lines, deeply understand on-site operations, embody AI solutions as prototypes, and lead them to production implementation. We are looking for colleagues who can speak both technical and business languages and accelerate transformation across organizational boundaries.
Responsibilities
This position will deeply engage in PayPay's core operations and lead the entire process from abstracting business issues, architectural design, PoC implementation, to organizational deployment. Furthermore, the role involves autonomously making decisions regarding technology selection and approaches.
- Deep Dive into On-site Operations and Issue Identification: Immerse yourself in business department operations, identify "essential issues to be solved by AI" through interviews and observation of workflows.
- Prototype (PoC) Development: For identified issues, quickly build and present "working solutions" to the field, utilizing LLM (Large Language Models) and various AI APIs.
- Requirements Definition and Technical Bridging: Based on on-site feedback, formulate requirements specifications for production implementation. Implement or supervise important components yourself, and bridge the technical context and business background to development engineers.
- Product Management: Lead the release, adoption, and continuous improvement of AI Agent tools from a product owner perspective.
Attractiveness of this Position
- Supporting the Business Foundation of Japan's Leading Cashless Service: Engage in system development that supports the business foundation of a service used by many customers in Japan, balancing security, governance, and speed.
- Impact on Company-wide Productivity: Your AI Agent involvement has the potential to dramatically change the working style of many employees.
- Implementation of Cutting-edge Technology: Pursue AI utilization to create business value in a full cloud environment, not "technology for technology's sake."
Past Projects
These are examples utilizing generative AI, and we expect you to delve into on-site operations, discover, and propose new use cases.
- Internal Knowledge Utilization Agent: Built a mechanism to answer questions, often asked directly to general affairs or IT support staff, via a Slack chatbot using RAG.
- Application Automation Agent: Implemented a system where an AI Agent pre-processes applications from various departments and prepares them up to the point of execution.
- Internal Knowledge Dashboard: Easily search internal development knowledge, previously confirmed directly with product managers, using Snowflake Intelligence as basic information for new development and improvements.
Development Environment / Tech Stack
- Infrastructure: AWS, Google Cloud, Snowflake
- Languages: Python, Java, etc.
- Frameworks: LangChain, Amazon Bedrock AgentCore SDK, etc.
- CI/CD & Ops: GitHub Actions, Atlantis, etc.
- Collaboration: Slack, Jira, Confluence
Required Experience/Skills
- Over 5 years of practical experience in software development.
- Experience leading overall system architecture design and technology selection in actual projects.
- Experience directly interacting with customers or internal business departments to define requirements specifications and perform product management.
- Experience developing applications utilizing APIs (especially LLM-related), or strong willingness to learn.
- Business-level Japanese conversation, reading, and writing skills (JLPT N1 or equivalent).
Desirable Experience/Skills
- Experience in designing and building cloud-native IT infrastructure (AWS/Azure/GCP).
- Experience in practicing agile development (Scrum, etc.).
- Experience in designing considering non-functional requirements (security, scalability, operations).
- Experience in business process consulting or BPR (Business Process Re-engineering).
- Daily conversational level English conversation, reading, and writing skills.
Desired Candidate Profile
- Aligns with PayPay 5 senses.