Generative AI Engineer

About JAPAN AIJAPAN AI, Inc. was established in April 2023 as a group company of Geniee, Inc., a publicly listed company, with the aim of dramatically enhancing the potential of working people through AI technology. We leverage cutting-edge AI technology to drive research and development both domestically and internationally.We focus particularly on the development of AI agents, providing innovative products and solutions that utilize large language models (LLM). This enables us to improve productivity and operational efficiency across various industries.JAPAN AI leverages the advantages of being a startup, allowing for flexible and rapid decision-making, and quickly adopting the latest technologies to provide optimal solutions for our clients. Additionally, our diverse team with an international perspective enhances our competitiveness in the global market.We aim to create new value and contribute to the progress of society as a whole through the transformative power of AI. Let's lead innovation through AI and create a future where technology enables people to achieve more.Role SummaryIn this position, you will:Research & Implementation of Cutting-Edge TechnologyConduct literature surveys and implement/validate the latest Generative AI technologies (LLMs, diffusion models, multimodal models, etc.)Model Development & OptimizationEnhance performance through structural transformation, fine-tuning, and inference optimization of existing modelsBridging Research to ProductImplement research outcomes in forms usable by the product team, enabling real-world business applicationsTechnical Problem-SolvingAnalyze complex AI technical challenges and propose/implement creative solutionsKnowledge Sharing Within TeamDocument research findings and technical insights, contributing to overall team technical advancementResponsibilitiesResearch & Literature SurveyInvestigate and analyze latest research papers in Generative AI, LLMs, Computer Vision, Natural Language Processing, etc.Monitor industry trends and assess applicability to our productsLeverage academic presentation experience for technology evaluation from scholarly perspectivesModel Development & ImplementationDesign and develop state-of-the-art Generative AI models (GPT, Stable Diffusion, Custom Transformers, etc.)Customize and structurally transform existing large language modelsImplement using frameworks like PyTorch, TensorFlow, Hugging Face TransformersDevelop models across multiple modalities (image generation, speech recognition, text generation, etc.)Performance OptimizationOptimize inference pipelines (reduce latency, improve throughput)Apply optimization techniques (quantization, distillation, pruning)Implement acceleration using GPU/TPU hardwareEnsure scalability and robustness for production environmentsEvaluation & VerificationBuild model performance evaluation frameworksAnalyze and improve issues (hallucinations, bias, output quality)Conduct benchmark testing and drive continuous improvement cyclesProduct IntegrationImplement developed models as APIs and documentation for product team useImplement integration technologies (Vector DB, embeddings, RAG)Build and operate AI systems on cloud platforms (GCP)Required QualificationsAcademic & Foundational KnowledgeMaster's or Ph.D. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Mathematics, Physics, or related fieldsDeep knowledge/experience in Generative AI domainTechnical SkillsAdvanced Python programming: Practical experience with deep learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers)Deep learning fundamentals: Understanding of neural networks, Transformers, attention mechanismsGenerative AI model implementation experience: Development/implementation experience with at least one Generative AI model (LLM, diffusion models, GANs, etc.)Research & Implementation ExperienceDesign and implementation experience of algorithms based on latest research papers in Computer Vision or Natural Language ProcessingResearch project experience with independent algorithm development and publication in academic conferences/journalsExperience applying research outcomes to actual products and achieving performance improvementsProblem-Solving AbilityExperience analyzing specific technical challenges in real projects and proposing/implementing concrete solutionsAbility to address complex technical problems with creative approachesLearning and Development SupportAI Tool Usage Support:Company covers the cost of using AI tools such as JAPAN AI SaaS services, Curosor, CharGPT, Claude, etc.Development Tool Support:If a desired development tool is paid, the cost is covered (up to 30,000 yen per year)Book Purchase Assistance:Company covers the cost of purchasing books for learning, such as technical books (up to 30,000 yen per half-year)Language Learning / Qualification Support:Company covers the cost of Japanese or English learning programs and qualification acquisitionRefresh Allowance:Company covers the cost of services used for personal refreshment (up to 5,000 yen per month)e.g., gym, yoga, chiropractic, aquarium, movies, theme park tickets, etc.Housing Allowance:Housing allowance provided for those living in designated areas (up to 30,000 yen per month)Work StyleHybrid Work: 3 days in office, 2 days remoteEmployment TypeFull-timeSalary¥ 8,000,000 - ¥14,000,000/yearMonthly: ¥571,429 - ¥1,000,000Bonuses twice yearly (May, November)Stock option program availableWork LocationSumitomo Realty & Development Shinjuku Oak Tower, 5F/6F163-6006 Nishi-Shinjuku, Shinjuku-ku, Tokyo