{"id":768866,"url":"https://alion.io/job/paypaycard-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":685457,"name":"PayPay Card","domain":"paypaycard.com","url":"https://alion.io/company/paypaycard","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":60,"open_postings":24,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"ArgoCD","optional":false},{"name":"Atlantis","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CloudFormation","optional":false},{"name":"Dynatrace","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon Neptune","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"Azure","optional":true},{"name":"CrewAI","optional":true},{"name":"GCP","optional":true},{"name":"Google ADK","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"OpenSearch","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-06-24T08:34:00Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-17T04:49:48Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":114},"description":"About PayPay Card\nPayPay 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, which has surpassed 75 million users since its launch (as of August 2026).\nWe 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.\n※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.\n\nJob Description\nPayPay 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\nResponsibilities\nArchitect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads\nArchitect and build infrastructure that is easy to maintain, update and improve\nArchitect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform services\nWork together with our Security Engineers to provision secure and governed AI platform infrastructure\nBuild and maintain deployment automation to ensure fast delivery of AI platform services to our developers\nProvide self-service capabilities and standard deployment patterns for developers to easily deploy and operate AI-powered application infrastructure\nBuild and maintain reusable platform templates, deployment patterns and integrations for GenAI applications, agents, RAG systems, MCP-based integrations and agent-to-agent workflows\nBuild and support monitoring and evaluation capabilities for GenAI systems, including usage, cost, reliability, agent execution and adoption metrics\nContinuously research, evaluate, and prototype emerging AI trends, frameworks, and open-source tools to ensure the platform remains cutting-edge.\nDrive R&D initiatives for new AI platform capabilities, keeping pace with the rapid evolution of agentic workflows and LLM infrastructure.\nTech Stack\nAWS: Bedrock, Bedrock Knowledge Bases, OpenSearch, Neptune, S3, ECS, EKS, Lambda, CloudWatch, Cognito, SQS, KMS, Secrets Manager, MSK, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other services\nAI platform / GenAI capabilities: RAG, vector stores, graph databases, model access patterns, MCP-based integrations, agent orchestration, agent-to-agent workflows, evaluation and observability tooling\nTerraform, GitHub Actions, Prometheus, Grafana, Dynatrace, Atlantis, ArgoCD, OpenTelemetry\nRequired Qualifications\nMore than 5 years of technical experience in cloud-based infrastructure platforms\nAbility to demonstrate high degree of ownership in a Production environment\nGood understanding of cloud security best practices and payment industry compliance standards\nExperience designing, building and operating cloud platform capabilities for internal developers\nExperience with cloud infrastructure and platform systems availability, performance and cost management\nExtensive technical hands-on experience with compute, storage and analytics services on cloud platforms\nExperience with IaC tools such as Terraform, CloudFormation, CDK\nExperience with cloud services monitoring, detection and response\nExperience with cloud services performance tuning, cost controls and management\nExperience in cloud infrastructure service patching and upgrades\nFamiliarity with AI platform concepts such as GenAI applications, agents, RAG systems, vector stores, model access patterns and evaluation/observability capabilities\nPayPay DevOps emphasize automation. Demonstrated skill with the following are required:\nHave excellent oral, written, verbal and interpersonal communication skills\nPreferred Qualifications\nBachelor’s degree and above in a technology related field\nExperience with other cloud service providers (e.g. GCP, Azure)\nExperience with Kubernetes (CKA, CKAD or CKS)\nExperience with AWS AI services such as Bedrock, Bedrock Knowledge Bases, Bedrock AgentCore, Bedrock Prompt Management or similar services\nExperience with RAG systems, vector stores, graph databases, semantic search or knowledge management platforms\nExperience with MCP, agent orchestration, agent-to-agent workflows or related AI integration patterns\nExperience with agent frameworks or orchestration tools such as OpenAI Agents SDK, Google ADK, Strands Agents, LangGraph, CrewAI, LlamaIndex or similar\nExperience with monitoring, evaluation or observability tooling for AI-powered systems\nExperience with Event-Driven Architecture (Kafka preferred)\nExperience using and contributing to Open Source tools\nExperience in managing IT compliance and security risk\nDemonstrated track record of self-driven learning and a passion for continuously catching up with the rapidly evolving AI ecosystem.\nExperience conducting R&D or building proofs-of-concept (PoCs) for emerging AI technologies.\nActive engagement with the AI community-evidenced by published papers, technical blogs, open-source contributions, or personal AI hobby projects.\nBilingual in English and Japanese is nice to have, but not required. Proficiency in either language is fine.\nWorking Conditions\nEmployment Status\nFull Time\nOffice Location\nHybrid 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.\n\nLIFE in JAPAN FACTBOOK\nWork Hours\nFull Flex Time (No Core Time)\nIn principle, 9:00am ~ 5:45pm (actual working hours: 7h45m + 1h break)\nHolidays\nEvery Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days\nPaid leave\nAnnual 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)\nPersonal 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.\n\nSalary\nAnnual salary paid in 12 installments (monthly)\nReviewed once a year\nOvertime allowance, Late overtime allowance, Commuting and transportation expenses\nBenefits\nSocial Insurance (health insurance, employee pension, employment insurance and compensation insurance)\n401K\nOther Information\n PayPay Inside-Out (Corporate Blog)JP\nENG\n\nRecruiting FACTBOOK for PayPay Card JP","description_format":"text","description_chars":6877,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Proficiency (C2)","optional":true}]},"benefits":["401k plan","Annual leave","Flexible schedule","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-09-11T20:56:32Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.246,"p_room":0.28,"age_days":114,"expected_fill_days":26,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/paypaycard-ai-platform-engineer","json_url":"https://alion.io/job/paypaycard-ai-platform-engineer.json","meta":{"generated_at":"2026-10-17T07:45:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10485,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":685457},"rest":"https://alion.io/mcp/rest/get_company?id=685457"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpaypaycard-ai-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpaypaycard-ai-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpaypaycard-ai-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/paypaycard-ai-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpaypaycard-ai-platform-engineer"}]}