No Japanese Required Backend Engineer Job at AI company, 東京都 新宿区

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  • AI company
  • 東京都 新宿区

Job Description

ワークスタイル

服装カジュアル 副業OK フレックスタイム制

募集要項

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.

応募必要条件

職務経験 6年以上
キャリアレベル 中途経験者レベル
英語レベル ビジネス会話レベル (英語使用比率: 常時英語)
日本語レベル 無し
最終学歴 大学卒: 学士号
現在のビザ 日本での就労許可が必要です

スキル・資格

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)

勤務地

  • 東京都 23区, 新宿区

労働条件

雇用形態

正社員

給与

700万円 ~ 1300万円

ボーナス

給与: ボーナス込み

勤務時間

10:00~19:00

休日・休暇

完全週休二日制 所定休日:土・日・祝日 休暇:年次有給休暇、夏季休暇(3日)、年末年始休暇(12月31日〜1月3日)、慶弔休暇

業種

インターネット・Webサービス

職種

会社概要

会社の種類 大手企業 (300名を超える従業員数)
外国人の割合 外国人 半数

Job Tags

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