【JAPAN AI】Generative AI Engineer (R&D)

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.

Related URLs

• Our Website
• Company Introduction Materials
• Tech Blog

Why We’re Hiring

Our R&D team operates under the mission: "Evolve JAI into a hybrid application/model company and help the product team build state-of-the-art (SOTA) AI applications."

We are developing next-generation products leveraging cutting-edge AI technology, particularly in rapidly evolving areas such as Large Language Models (LLMs), Generative AI, and AI agents. We seek individuals who can implement the latest research findings and develop foundational technologies enabling the product team to build industry-leading AI applications.

Position

Generative AI Engineer
Role : Member

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

Experience & Appeal of This Role

• Exposure to Cutting-Edge Technology
  • Gain practical experience at the forefront of rapidly growing fields like LLMs and AI agents, significantly advancing your technical skills
• Fusion of Research & Implementation
  • Balance academic research with practical product development, deepening expertise in both theory and practice. We actively support paper publications and conference participation
• High-Impact Product Development
  • Contribute to solving societal and corporate challenges through AI technology, engaging in impactful work
• Autonomy & Speed
  • Leverage startup-specific rapid decision-making processes for flexibility in adopting new technologies, enabling quick realization of individual ideas
• Diverse, Multinational Team
  • Work with an internationally diverse engineering team, deepening cross-cultural understanding and developing a global perspective
• Personal & Organizational Growth
  • A dynamic environment where you can balance self-growth with organizational growth while flexibly adapting to rapid change

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)

Team Structure

Approximately 70 members are part of the development organization. Development is divided into the following groups:

• Client Solution Development
• In-house AI SaaS Development
• Common Infrastructure Development (Infra / Data / AI R&D)

This position is assigned to the AI R&D team within Common Infrastructure Development, focusing on cutting-edge technology research and development supporting the entire product team.

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

Preferred Qualifications

• LLM/RAG implementation experience (Vector DB, embeddings, prompt design, evaluation methods)
• Image generation model development/application experience (Stable Diffusion, DALL-E, custom diffusion models)
• Multimodal model development experience (integrating text, images, audio)
• Paper submission/publication experience in Computer Vision, NLP, or related fields
• Large-scale model training/inference experience on cloud platforms (GCP, AWS, Azure)
• Open-source project contribution experience (GitHub, Hugging Face, etc.)
• Data pipeline/MLOps construction experience (model training, evaluation, operation automation)
• Multi-language implementation experience (C++, CUDA, Rust, etc. for high-performance scenarios)
• AI agent or autonomous reasoning system development experience

Tech Stack

Languages: Python (framework), TypeScript / React / Next.js (frontend) / NX
Infrastructure: GCP (containers / K8s), Docker
Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion
Work Environment: Mac (Apple Silicon), dual monitor setup

Learning and Development Support

• AI Tool 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
Flexible working hours: Core time is negotiable
Flexibility: Future consideration for more flexible work styles is possible

Selection Process

CV Screening → Coding test → Multiple Interviews → Final Interview
(Reference checks are required before the final interview.)