株式会社ジーニー：【JAPAN AI】Backend Engineer

会社名

株式会社ジーニー

会社概要

マーケティング領域における自社開発の様々なプロダクトを、企業の課題に応じて導入提案〜定着支援〜開発〜実装〜運用～成功まで、全てのフェーズにおいて対応しています。広告とSaaSプロダクトのアクティブ取引社数は5,900社を超えています。

ポジション

【JAPAN AI】Backend Engineer

仕事内容

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.

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

・従事すべき業務の変更の範囲
　会社の定める業務

求める経験・スキル

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