Business Overview
The Technology Platforms Division (TPD) drives the growth of Rakuten's ecosystem by delivering innovative, high-quality technology platforms characterized by integrated control and strategic partnerships.
By joining our TECH community, the IT powerhouse of the Rakuten Group, you will be part of a diverse global team and play a central role in our technology and innovation.
Aligning with TECH's innovative nature, our Incentive Platform Department (INPD) is thinking big: building scalable platforms that powers the Rakuten Ecosystem worldwide.
And we in Point Platform Group, under Loyalty Platform Section, are responsible for developing and operating Rakuten Point Platform, the most popular loyalty program in Japan.
Through Rakuten Point, millions of users are connected everyday with popular Rakuten services such as EC, Bank, Card, as well as to thousands of convenient stores all over Japan.
However, our mission doesn't stop there, Rakuten point now is expanding in all over the world from Europe to the Americas to APAC region, and our ongoing mission is to connect it all under single global platform.
By the time you finish reading this, hundreds of thousands of points transactions have been processed through our platform Interested in hearing more? Come talk with us.
Why We Hire
While our core business revolves around high-volume, highly reliable point management, we recognize the transformative power of Artificial Intelligence to revolutionize our internal operations, enhance efficiency, and deliver innovative solutions to our internal stakeholders.
In this pivotal role, you will champion the adoption and application of AI technologies to significantly improve our team's productivity, streamline workflows, and develop AI-driven solutions that directly address the needs of our internal business and engineering partners.
Your contributions will enhance the operational excellence of the Rakuten Point Platform and empower our internal clients.
This is an exciting opportunity to directly impact a global platform processing massive transaction volumes, by bringing the advantages of AI to bear on real-world engineering and business challenges, both within our team and across the broader Rakuten ecosystem.
Partner with product managers and cross-functional teams to identify critical business and operational challenges, translating them into practical AI/ML solution requirements
Design, develop, and implement AI-driven solutions that enhance team productivity and streamline operations, leveraging Generative AI, multimodal AI, and cloud-native services (Azure AI, AWS Bedrock, Google Cloud Vertex AI)
Build and integrate advanced AI applications including RAG systems, AI agents, multimodal AI solutions, and traditional ML models (anomaly detection, predictive analytics) to deliver end-to-end intelligent solutions
Manage the end-to-end AI/ML solution lifecycle, encompassing data preparation, model development, training, evaluation, deployment, and ongoing optimization, ensuring scalability, cost-effectiveness, and maintainability
Stay current with rapidly evolving AI landscape, evaluate cutting-edge technologies (latest LLMs, AI agents, multimodal models), and prototype innovative applications using state-of-the-art AI capabilities
Work Environment
Our teams are strategically located in two key cities: Tokyo and Dalian, China.
Each location hosts a diverse group of professionals, including Product Managers, Technical Delivery Managers, Developers, Quality Assurance Engineers, and Site Reliability Engineers.
The Tokyo and Dalian teams are of comparable size, each comprising approximately 30 to 50 members.
Our team is composed of individuals with a wide range of ages and experience levels, from recent graduates to seasoned senior members, with an average age of around 35.
Our Product and Technical Delivery Management team primarily consists of mid-career professionals who bring valuable technical experience from their previous roles.
Our team is composed of individuals with a wide range of ages and experience levels, from recent graduates to seasoned senior members, with an average age of around 35.
Therefore, we are seeking an individual who can leverage their expert AI knowledge to lead improvement projects and mentor our junior members.
Our core platform leverages the following technologies.While these form the foundation of our existing services, we encourage the exploration and adoption of diverse technologies, especially in the AI domain, to best suit project needs.
Tech StackProgramming languages:
Kotlin, Java
Platform:
Google Cloud, internal private cloud
Databases:
Cassandra, TiDB, Redis, MySQL
Application Framework:
Vertx, Quarkus
Batch and Streaming:
Kafka, Spark
Monitoring:
ELK
Others:
GitHub Actions, Continuous Integrations (CI/CD), Kubernetes
Mandatory Qualifications
Education
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field
Experience
5+ years of professional software development experience with a strong foundation in building scalable, production-ready applications
At least 2+ years of dedicated experience in AI/ML development, with proven track record of developing and deploying production-ready AI solutions emphasizing Generative AI (LLMs, RAG systems, AI agents, multimodal AI)
Technical Skills
Strong software engineering fundamentals with experience in system design, API development, and cloud-based architectures
Solid grasp of traditional machine learning algorithms and techniques for data analysis, prediction, and classification
Proficiency in Python and AI/ML frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API, scikit-learn, PyTorch/TensorFlow). Familiarity with emerging AI agent frameworks is a plus
Good understanding of Generative AI concepts including LLM architectures, prompt engineering, and RAG systems. Experience with AI agents, function calling, or multimodal AI is desirable but not required
Soft Skills
Excellent analytical and problem-solving skills, with demonstrated ability to translate complex business/operational challenges into tangible AI/ML solutions
Strong communication and collaboration skills, with experience partnering effectively with product managers, engineering leads, and diverse cross-functional teams
Language Skills
Business-level fluency in English is required
Desired Qualifications
MS or Ph.
D. in Computer Science, Engineering, Mathematics, Statistics, or a related technical discipline with a focus on AI/ML
Experience with AI agents, function calling, or multimodal AI
Experience with AI development tools and platforms (OpenAI API, Hugging Face Hub, MLflow) or willingness to learn quickly
Understanding of AI safety and responsible AI practices
Familiarity with vector databases and semantic search technologies (practical experience or strong conceptual understanding)
Basic knowledge of LLM fine-tuning or model optimization techniques (LoRA, PEFT) - training can be provided
Experience with at least one major cloud provider's AI services (Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI) or strong cloud computing background
Interest in AI agent frameworks and orchestration tools - willingness to learn and experiment with emerging technologies
Familiarity with high-volume transaction processing systems, loyalty programs, e-commerce, or financial services
#engineer #applicationsengineer #technologyplatformdiv
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