Rakuten-posted 9 months ago
$30 - $50/Yr
Full-time • Entry Level
Ossian, IN
Publishing Industries

Rakuten Group, Inc. is a global leader in internet services, offering a dynamic ecosystem of over 70 services across e-commerce, FinTech, digital content, and communications. Founded in 1997, Rakuten's mission is to empower people and society through innovation and entrepreneurship. With a vision of driving disruptive innovation globally, Rakuten integrates various services under a unified brand, supported by a unique ecosystem model that leverages data and AI. The company's popular 'Rakuten Points' program and 'One ID' system enhance user engagement, providing seamless access to its diverse services. Headquartered in Japan, Rakuten has achieved 27 consecutive years of revenue growth and is recognized for fostering a diverse and inclusive corporate culture, with English as its official language since 2012. In recent years, Rakuten has focused on AI and sustainability initiatives, aiming to drive further technological advancements and achieve carbon neutrality. We are seeking innovative and dedicated Software Engineer to join the Rakuten AI User Experience team. Rakuten AI strives to be your Rakuten AI companion, providing the best AI user experience — generally, contextually, and personally. Rakuten AI aims to serve as the AI Core of the Rakuten ecosystem, enhancing interconnections between Rakuten services and users to delight customers worldwide more than ever before. This role involves advancing the AI user experience to serve as the foundational core across the Rakuten products ecosystem by developing innovative AI user experience framework. The ideal candidate will have a strong passion for building solid, flexible, and immersive AI user experiences using state-of-the-art technologies and will contribute to a unified vision that enhances Rakuten AI foundation at scale. We also welcome exceptional engineers from diverse fields who may not have direct experience in AI. This role is an opportunity to gain critical skills and knowledge needed to transition into the AI space. We are dedicated to supporting career changers who bring unique perspectives and expertise. Our commitment includes offering mentorship and resources to facilitate your growth in cutting-edge AI domains.

  • Develop and Maintain Web Applications: Design, build, and maintain front-end and back-end features for web applications, ensuring they are scalable and high-performing.
  • Build AI Front-End User Experience: Use HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue to create intuitive and responsive user interfaces.
  • Develop AI Back-End Services: Build server-side logic and APIs using technologies like Node.js, Python, Java, or Ruby.
  • Building highly flexible, scalable Agentic AI Framework by leveraging popular AI toolset like LangChain etc.
  • Data schema design and database management: Design and manage databases, such as MySQL, MongoDB, PostgreSQL, or others, ensuring efficient data storage and retrieval.
  • Integrate APIs and Third-Party Services: Integrate external APIs and services, such as OpenAI APIs, payment gateways, social media APIs, or analytics tools, as needed.
  • Perform Testing and Debugging: Write unit, integration, and end-to-end tests, troubleshoot issues, and resolve bugs across the full stack of the application.
  • Optimize for Performance: Improve performance by optimizing application code, databases, and server configurations to reduce latency and increase efficiency.
  • Proficiency in front-end technologies like HTML, CSS, and JavaScript, and experience with at least one modern front-end framework (e.g., React, Angular, or Vue).
  • Proficiency in Back-End Development, knowledgeable of server-side languages such as C#, Java, Python, Node.js, Ruby, or PHP and familiarity with building RESTful APIs and knowledgeable of Web Development Frameworks.
  • Knowledge/familiarity with variety of data schema design, and database management, e.g. relational databases (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB, Cassandra).
  • Proficiency in debugging and problem-solving across both front-end and back-end systems.
  • Ability to write clean, maintainable code, adherence to coding standards and best practices, with a focus on creating well-organized, readable, and maintainable code.
  • Adaptability and willingness to learn, ability to quickly learn new technologies and adapt to changing project requirements.
  • Experience in AI-related projects or products strongly preferred.
  • Professional development workshops
  • Mentorship and resources for career growth
  • Opportunities for relationship building with other interns and professionals
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