New - Full-stack (AI Systems) Engineer

About Digirize Co., Ltd. Digirize Co., Ltd., founded in July 2023, is an AI venture company driven by the vision of "delivering the convenience and excitement of AI to everyone." Through AI training programs and AI system development, we aim to lead Japan's productivity revolution. Our goal is to increase the penetration rate of generative AI in Japan from the current 10% to 80%. ### Business Overview 1. Corporate Reskilling™- We provide LMS (video learning system) based self-learning and 1-to-N online training.

• Our training services develop personnel to a level where they can practically utilize AI in their work.
• We support business process reviews and improvements through AI utilization. 2.Development and Sales of AI Tools- Development and provision of "AI Works," an enterprise-oriented ChatGPT.
• AI Works addresses issues such as insufficient functionality, security concerns, and IT literacy shortages, facilitating generative AI adoption in Japanese companies.
• Future plans include integrating multiple large language models like Gemini and Claude to offer more specialized AI solutions. 3.Contract Development- System development using generative AI (e.g., AI chatbots, automation tools for business processes).
• We plan to enter the support business for introducing large language models, operating proprietary LLMs on our servers to enhance business efficiency. ### Corporate Philosophy and Vision Despite the clear potential of AI to enhance productivity, Japan's AI adoption rate among listed companies is only 10%, and among SMEs, it's about 2-3%. In contrast, 92% of Fortune 500 companies in the US have adopted ChatGPT within just one year of its release. This growing economic gap between Japan and the US is challenging to bridge without advancing AI utilization in Japan. Our goal is to create an environment where using AI is a given, improving productivity and consequently enhancing corporate value. ### Characteristics of Digirize -Team Composition- Our team consists of about 20 members, including specialists working on a contract basis.
• The executive team, hailing from Kansai, brings a lively and engaging atmosphere. -Work Style and Goals- Aiming for an IPO by 2027, we are rapidly growing in the central field of generative AI.
• We are committed to employee growth and maintaining high remuneration.
• Emphasizing work efficiency, we aim to minimize overtime for our team members. ### Job Openings and RequirementsFull-Stack Engineer (Full-time/Contract)-Job Responsibilities- Development of proprietary LLMs.
• Additional development for AI Works.
• Development of AI chatbots tailored to customer needs.
• Technical proposal sales and requirements definition. -Required Skills- Experience in LLM development.
• Broad development skills from front-end to back-end.
• Proficiency in Azure.
• Expertise in UI/UX and APIs.
• Ability to submit product portfolios via GitHub. -Work Location- Fully remote. -Preferred Candidate Traits- Desire to acquire skills in a growing market.
• Keen to utilize cutting-edge skills and technologies.
• Want to work in an environment where achievements are fairly evaluated.
• Eager to significantly enhance market value.
• Unfulfilled in previous roles. === Tech stack. Digirize Co., Ltd. employs a comprehensive and modern tech stack to support their AI development and deployment initiatives. Here is an overview of their tech stack based on the job requirements and business descriptions: ### Development Technologies 1.Languages and Frameworks:-**JavaScript/TypeScript:**For front-end development. -**Python:**Commonly used for AI and machine learning applications. -**Node.js:**For backend development. -**React.js/Vue.js:**For building user interfaces. 2.Databases:-**SQL/NoSQL Databases:**Various databases depending on the project needs, possibly including: -**PostgreSQL/MySQL:**For relational data storage. -**MongoDB:**For non-relational, document-oriented data storage. ### AI and Machine Learning 1.Large Language Models (LLMs):- Development of proprietary LLMs.
• Integration of models like Gemini and Claude.
• Utilization of frameworks like TensorFlow or PyTorch for model development and training. 2.AI Tools:-**OpenAI's GPT:**As part of the enterprise ChatGPT solution "AI Works." -**Natural Language Processing (NLP):**Using libraries such as spaCy or NLTK. ### Cloud and DevOps 1.Cloud Platforms:-**Microsoft Azure:**For cloud infrastructure and services.
• Possibly other cloud platforms like AWS or Google Cloud for specific services. 2.DevOps Tools:-**Docker:**For containerization of applications. -**Kubernetes:**For container orchestration and management. -**CI/CD Tools:**Jenkins, GitHub Actions, or Azure DevOps for continuous integration and deployment. ### Security and ### Security and Compliance 1.Security Practices:- Implementation of robust security measures to address concerns related to AI adoption in enterprises.
• Regular security audits and compliance checks. 2.Tools:-**Azure Security Center:**For monitoring and managing security across cloud services. -**Various security libraries and frameworks:**To ensure data protection and secure application development. ### Other Technologies 1.Version Control:-**Git:**For source code management and collaboration. -**GitHub:**For repository hosting, issue tracking, and collaboration. 2.APIs and Integration:- Development and consumption of RESTful and GraphQL APIs. -**Swagger/OpenAPI:**For API documentation and testing. 3.UI/UX Design:-**Figma/Sketch:**For designing user interfaces and user experiences. -Storybook: For developing and testing UI components in isolation. This tech stack allows Digirize Co., Ltd. to develop, deploy, and manage AI solutions effectively, ensuring they can meet the diverse needs of their clients and drive productivity improvements across various industries.