【JAPAN AI】Backend Engineer

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

JAPAN AI Inc. is experiencing rapid growth through product development leveraging Generative AI. As AI technologies and their social implementation accelerate, the importance of scalable and robust backend development for our innovative AI product suite—including JAPAN AI CHAT, JAPAN AI Speech, and JAPAN AI AGENT—continues to increase.

We are hiring a Backend Engineer to accelerate product growth.

Position

Generative Backend Engineer
Role : Member

Role Summary

As a Backend Engineer, you will lead the design, development, and operation of backend systems for JAPAN AI's product suite. You will design and build scalable, robust backend architectures and technical foundations for next-generation products utilizing AI agent technologies and large language models. We expect you to contribute to enhancing product value through collaboration with cross-functional teams.

Why You’ll Love This Role

• Cutting-edge technology challenges:
  • Work with state-of-the-art technologies such as large language models and generative AI
• Complex SaaS product development:
  • Build high-value expertise by solving challenges in high-traffic B2B products
• Socially impactful product development:
  • Contribute to solving real-world problems for society and enterprises using AI technology
• Collaboration with diverse talent:
  • Work alongside talented members from diverse backgrounds in a stimulating growth environment
• Balance of personal and organizational growth:
  • Thrive in a dynamic environment that balances individual growth with organizational development

Responsibilities

• AI Product Development
  • Design, develop, and operate backend systems for AI products
  • Implement AI agent systems utilizing large language models (LLMs)
  • Develop APIs for real-time speech processing and speech synthesis systems
  • Build and optimize natural language processing pipelines
• System Architecture & Infrastructure
  • Design distributed systems using microservices architecture
  • Design and implement scalable APIs for high-traffic scenarios
  • Containerization and Kubernetes operations on GCP
  • Database design and query optimization for large-scale data processing
• Development Process & Quality Improvement
  • Build and improve CI/CD pipelines
  • Promote code reviews and test automation
  • Build monitoring and log analysis systems
  • Implement and operate based on security requirements
• Machine Learning & AI Integration
  • Integrate and deploy machine learning models to production environments
  • Build and operate MLOps pipelines
  • Optimize inference API performance and reduce latency
  • Develop A/B testing infrastructure and support data analysis
• Team Collaboration & Technical Leadership
  • Collaborate with cross-functional teams (designers, product managers, project managers)
  • Participate in technical selection and architecture decisions
  • Research new technologies, build prototypes, and conduct technical validation
  • Improve and automate development processes

Team Structure

Approximately 70 members in the development organization, divided into:

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

Required Qualifications

We are looking for candidates with:

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Mathematics, Physics, or related fields, or equivalent practical experience
• 5+ years of application development experience using Python
• 3+ years of experience developing complex SaaS products or high-traffic B2B products
• 3+ years of experience with cloud services (AWS, GCP, Azure) and container technologies (Docker, Kubernetes)
• Experience working at startups or growth-stage companies, or equivalent environments
• Knowledge of and passion for AI-related technologies
• Language requirements (either):
  • Japanese: Fluent (able to discuss product development without misunderstandings)
  • English: Business level

Preferred Qualifications

Candidates with the following experience or skills will be highly regarded:

• Experience building systems utilizing natural language processing or machine learning
• Experience developing machine learning models with Python, TensorFlow, or PyTorch
• Experience with chatbot, speech recognition systems, or AI agent development
• Experience launching new businesses/products from the 0→1 phase
• Full-stack application development experience
• Bilingual (Japanese/English)

Tech Stack

Languages: Python (for framework development), TypeScript / React / Next.js (frontend) / NX
Infrastructure: GCP (containers / Kubernetes), Docker
Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion, etc.
Work Environment: Mac (Apple Silicon), dual monitors available

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
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.)