AI Platform Engineer

AI Platform Engineer Tokyo, Japan PayPay Card Advanced relocation package Adaptation tips Flight ticket Language courses Money for moving expenses Temporary housing Housing search assistance Visa services 📩 Get the premium jobs newsletter ~100 relocation-friendly tech jobs every Thursday ($15/mo) Get About PayPay Card PayPay Card Corporation was established in 2021 to provide users with a FinTech service that is more accessible and convenient compared to previous credit cards and credit services, by integrating with the PayPay payment platform, which has surpassed 70 million users since its launch (as of July 2025). We are looking for people who are passionate about refining our products at an overwhelming speed that other companies cannot match, as well as professionals who are interested in promoting the spread of cashless payments in Japan and the use of these payments as a financial life platform. Let us work together to create new value for users. Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation. Position PayPay Card is looking for an AI Platform Engineer focused on cloud-native GenAI infrastructure and enablement. This role will build and operate the foundation that enables internal teams to deliver and operate GenAI applications, agents, RAG systems, and related AI workloads reliably, safely, and cost-effectively Responsibilities Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloadsArchitect and build infrastructure that is easy to maintain, update and improveArchitect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform servicesWork together with our Security Engineers to provision secure and governed AI platform infrastructureBuild and maintain deployment automation to ensure fast delivery of AI platform services to our developersProvide self-service capabilities and standard deployment patterns for developers to easily deploy and operate AI-powered application infrastructureBuild and maintain reusable platform templates, deployment patterns and integrations for GenAI applications, agents, RAG systems, MCP-based integrations and agent-to-agent workflowsBuild and support monitoring and evaluation capabilities for GenAI systems, including usage, cost, reliability, agent execution and adoption metricsContinuously research, evaluate, and prototype emerging AI trends, frameworks, and open-source tools to ensure the platform remains cutting-edge.Drive R&D initiatives for new AI platform capabilities, keeping pace with the rapid evolution of agentic workflows and LLM infrastructure. Tech Stack AWS: Bedrock, Bedrock Knowledge Bases, OpenSearch, Neptune, S3, ECS, EKS, Lambda, CloudWatch, Cognito, SQS, KMS, Secrets Manager, MSK, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other servicesAI platform / GenAI capabilities: RAG, vector stores, graph databases, model access patterns, MCP-based integrations, agent orchestration, agent-to-agent workflows, evaluation and observability toolingTerraform, GitHub Actions, Prometheus, Grafana, Dynatrace, Atlantis, ArgoCD, OpenTelemetry Your qualification More than 5 years of technical experience in cloud-based infrastructure platformsAbility to demonstrate high degree of ownership in a Production environmentGood understanding of cloud security best practices and payment industry compliance standardsExperience designing, building and operating cloud platform capabilities for internal developersExperience with cloud infrastructure and platform systems availability, performance and cost managementExtensive technical hands-on experience with compute, storage and analytics services on cloud platformsExperience with IaC tools such as Terraform, CloudFormation, CDKExperience with cloud services monitoring, detection and responseExperience with cloud services performance tuning, cost controls and managementExperience in cloud infrastructure service patching and upgradesFamiliarity with AI platform concepts such as GenAI applications, agents, RAG systems, vector stores, model access patterns and evaluation/observability capabilitiesPayPay DevOps emphasize automation. Demonstrated skill with the following are required:Have excellent oral, written, verbal and interpersonal communication skills Will be a plus Bachelor’s degree and above in a technology related fieldExperience with other cloud service providers (e.g. GCP, Azure)Experience with Kubernetes (CKA, CKAD or CKS)Experience with AWS AI services such as Bedrock, Bedrock Knowledge Bases, Bedrock AgentCore, Bedrock Prompt Management or similar servicesExperience with RAG systems, vector stores, graph databases, semantic search or knowledge management platformsExperience with MCP, agent orchestration, agent-to-agent workflows or related AI integration patternsExperience with agent frameworks or orchestration tools such as OpenAI Agents SDK, Google ADK, Strands Agents, LangGraph, CrewAI, LlamaIndex or similarExperience with monitoring, evaluation or observability tooling for AI-powered systemsExperience with Event-Driven Architecture (Kafka preferred)Experience using and contributing to Open Source toolsExperience in managing IT compliance and security riskDemonstrated track record of self-driven learning and a passion for continuously catching up with the rapidly evolving AI ecosystem.Experience conducting R&D or building proofs-of-concept (PoCs) for emerging AI technologies.Active engagement with the AI community—evidenced by published papers, technical blogs, open-source contributions, or personal AI hobby projects.Bilingual in English and Japanese is nice to have, but not required. Proficiency in either language is fine. What we offer Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)401K Additional details Employment status Full time Office location Hybrid workstyle (flexible working style including remote and office)You will be expected to work both in the office and remotely, in alignment with organizational guidelines and team objectives. LIFE in JAPAN FACTBOOK Work hours Full flex time (no core time)In principle, 9:00am ~ 5:45pm (actual working hours: 7h45m + 1h break) Holidays Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days Paid leave Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)Personal leave (5 days each year, granted proportionally according to the month of employment) PayPay Group's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc. Salary Annual salary paid in 12 installments (monthly)Reviewed once a yearOvertime allowance, Late overtime allowance, Commuting and transportation expenses, Work style support allowance Benefits Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)401K Other Information PayPay Inside-Out (Corporate Blog)JPENGRecruiting FACTBOOK for PayPay CardJP Engineer Developer Programmer AWS Amazon Cloud Kubernetes AI Azure Terraform Platform GCP CloudFormation IaC RAG CDK Production Amazon Web Services