About JAPAN AI
JAPAN 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 Summary

In this position, you will:
Research & Implementation of Cutting-Edge Technology
Conduct literature surveys and implement/validate the latest Generative AI technologies (LLMs, diffusion models, multimodal models, etc.)
Model Development & Optimization
Enhance performance through structural transformation, fine-tuning, and inference optimization of existing models
Bridging Research to Product
Implement research outcomes in forms usable by the product team, enabling real-world business applications
Technical Problem-Solving
Analyze complex AI technical challenges and propose/implement creative solutions
Knowledge Sharing Within Team
Document research findings and technical insights, contributing to overall team technical advancement

Responsibilities
Research & Literature Survey
Investigate and analyze latest research papers in Generative AI, LLMs, Computer Vision, Natural Language Processing, etc.
Monitor industry trends and assess applicability to our products
Leverage academic presentation experience for technology evaluation from scholarly perspectives
Model Development & Implementation
Design and develop state-of-the-art Generative AI models (GPT, Stable Diffusion, Custom Transformers, etc.)
Customize and structurally transform existing large language models
Implement using frameworks like PyTorch, TensorFlow, Hugging Face Transformers
Develop models across multiple modalities (image generation, speech recognition, text generation, etc.)
Performance Optimization
Optimize inference pipelines (reduce latency, improve throughput)
Apply optimization techniques (quantization, distillation, pruning)
Implement acceleration using GPU/TPU hardware
Ensure scalability and robustness for production environments
Evaluation & Verification
Build model performance evaluation frameworks
Analyze and improve issues (hallucinations, bias, output quality)
Conduct benchmark testing and drive continuous improvement cycles
Product Integration
Implement developed models as APIs and documentation for product team use
Implement integration technologies (Vector DB, embeddings, RAG)
Build and operate AI systems on cloud platforms (GCP)

Required Qualifications
Academic & Foundational Knowledge
Master's or Ph.
D. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Mathematics, Physics, or related fields
Deep knowledge/experience in Generative AI domain
Technical Skills

Advanced Python programming:
Practical experience with deep learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers)

Deep learning fundamentals:
Understanding of neural networks, Transformers, attention mechanisms

Generative AI model implementation experience:
Development/implementation experience with at least one Generative AI model (LLM, diffusion models, GANs, etc.)
Research & Implementation Experience
Design and implementation experience of algorithms based on latest research papers in Computer Vision or Natural Language Processing
Research project experience with independent algorithm development and publication in academic conferences/journals
Experience applying research outcomes to actual products and achieving performance improvements
Problem-Solving Ability
Experience analyzing specific technical challenges in real projects and proposing/implementing concrete solutions
Ability to address complex technical problems with creative approaches

Learning and Development Support

AI 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 acquisition

Refresh 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 Style
Hybrid Work: 3 days in office, 2 days remote

Employment Type
Full-time

Salary
¥ 8,000,000 - ¥14,000,000/year

Monthly:
¥571,429 - ¥1,000,000

Bonuses twice yearly (May, November)
Stock option program available

Work Location
Sumitomo Realty & Development Shinjuku Oak Tower, 5F/6F
Nishi-Shinjuku, Shinjuku-ku, Tokyo

職務レベル
スタッフレベル
雇用形態
正社員
職務タイプ
エンジニアリング、IT・コンピューター
業種
技術・情報・インターネット、ITサービス・ITコンサルティング

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