No Japanese Required Backend Engineer

Role Summary

As a Backend Engineer, you will lead the design, development, and operation of backend systems for a 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 voice AI technology challenges:
  • Work on next-generation voice dialogue systems combining ASR/TTS/LLM technologies
• Real-time processing expertise:
  • Build highly marketable expertise through designing and operating low-latency voice streaming infrastructure using WebRTC/Twilio
• Frontline of customer problem-solving:
  • Engage directly with customers across diverse industries and experience the impact of solving their challenges with technology
• Socially impactful product development:
  • Work on high-impact projects directly contributing to corporate productivity improvements, such as call center efficiency and sales support
• Collaboration with diverse talent:
  • Grow in a stimulating environment working alongside talented members from diverse backgrounds including AI engineers, SREs, PdMs, Sales, and CS
• Balance of personal and organizational growth:
  • Thrive in a dynamic field that balances individual growth with organizational development while adapting flexibly to rapid change

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

Why You’ll Love This Role

• Cutting-edge voice AI technology challenges:
  • Work on next-generation voice dialogue systems combining ASR/TTS/LLM technologies
• Real-time processing expertise:
  • Build highly marketable expertise through designing and operating low-latency voice streaming infrastructure using WebRTC/Twilio
• Frontline of customer problem-solving:
  • Engage directly with customers across diverse industries and experience the impact of solving their challenges with technology
• Socially impactful product development:
  • Work on high-impact projects directly contributing to corporate productivity improvements, such as call center efficiency and sales support
• Collaboration with diverse talent:
  • Grow in a stimulating environment working alongside talented members from diverse backgrounds including AI engineers, SREs, PdMs, Sales, and CS
• Balance of personal and organizational growth:
  • Thrive in a dynamic field that balances individual growth with organizational development while adapting flexibly to rapid change

Work Style

Hybrid work model: 3 days in the office, 2 days remote.

Minimum Qualifications

• 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

• 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)