AI Platform Engineer

The role

This person will build and operate cloud-native GenAI infrastructure and enablement. They will create the foundation for internal teams to deliver GenAI applications, agents, and RAG systems.

What you will do

• Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads
• Architect and build infrastructure that is easy to maintain, update and improve
• Architect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform services
• Work together with Security Engineers to provision secure and governed AI platform infrastructure
• Build and maintain deployment automation to ensure fast delivery of AI platform services to our developers
• Provide self-service capabilities and standard deployment patterns for developers
• Build and maintain reusable platform templates, deployment patterns and integrations
• Build and support monitoring and evaluation capabilities for GenAI systems
• Research, evaluate, and prototype emerging AI trends, frameworks, and open-source tools
• Drive R&D initiatives for new AI platform capabilities

Required qualifications

• More than 5 years of technical experience in cloud-based infrastructure platforms
• Ability to demonstrate high degree of ownership in a Production environment
• Good understanding of cloud security best practices and payment industry compliance standards
• Experience designing, building and operating cloud platform capabilities for internal developers
• Experience with cloud infrastructure and platform systems availability, performance and cost management
• Extensive technical hands-on experience with compute, storage and analytics services on cloud platforms
• Experience with IaC tools such as Terraform, CloudFormation, CDK
• Experience with cloud services monitoring, detection and response
• Experience with cloud services performance tuning, cost controls and management
• Experience in cloud infrastructure service patching and upgrades
• Familiarity with AI platform concepts such as GenAI applications, agents, RAG systems, vector stores, model access patterns and evaluation/observability capabilities
• Excellent oral, written, verbal and interpersonal communication skills

Nice to have

• Bachelor’s degree and above in a technology related field
• Experience 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 services
• Experience with RAG systems, vector stores, graph databases, semantic search or knowledge management platforms
• Experience with MCP, agent orchestration, agent-to-agent workflows or related AI integration patterns
• Experience with agent frameworks or orchestration tools such as OpenAI Agents SDK, Google ADK, Strands Agents, LangGraph, CrewAI, LlamaIndex or similar
• Experience with monitoring, evaluation or observability tooling for AI-powered systems
• Experience with Event-Driven Architecture (Kafka preferred)
• Experience using and contributing to Open Source tools

Benefits

• Annual salary paid in 12 installments
• Overtime allowance
• Late overtime allowance
• Commuting and transportation expenses
• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Annual leave (up to 14 days in the first year)
• Personal leave (5 days each year)
• PayPay Group's own special paid leave system

Before you apply

• You cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation

About the company

PayPay Card Corporation was established in 2021 to provide users a FinTech service that is more accessible and convenient compared to previous credit cards and credit services, by integrating with the PayPay payment platform.