株式会社ジーニー：【JAPAN AI】AI Solution Architect (Speech Product)

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】AI Solution Architect (Speech Product)

仕事内容

Why We’re Hiring
With the rapid proliferation of AI technologies, demand for voice solutions utilizing our AI product "JAPAN AI Speech" is surging. In particular, we are seeing increased projects for designing and developing voice AI solutions tailored to individual customer requirements, such as call center efficiency improvements, sales support, and voice dialogue systems. Strengthening our engineering team with expertise in voice technology and backend development has become an urgent priority.

Role Summary
You will join the Solution Architect team as a Speech Product specialist. You will lead backend development for custom solutions that solve customer business challenges using JAPAN AI Speech product and voice AI technologies. We expect you to handle the entire process from system design and implementation based on customer requirements to integration with existing systems and operational maintenance.

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

・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
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Mathematics, Physics, or related fields, or equivalent practical experience
3+ years of application development experience using Python
Experience with requirements definition, technical explanations, and contract development with customers
Practical experience with real-time communication (WebRTC / WebSocket / gRPC, etc.) or streaming processing (Kafka / Pub/Sub, etc.)
3+ years of experience with cloud services (GCP preferred, AWS/Azure acceptable) and container technologies (Docker, Kubernetes)
Experience designing and operating RDB/NoSQL (Postgres, Redis, etc.) and object storage (GCS/S3, etc.)
Experience working at startups or growth-stage companies, or equivalent environments
Knowledge of and passion for AI-related technologies

Preferred Qualifications
Practical experience with voice products (ASR/TTS/voice signal processing/speaker separation, etc.)
Production experience with model inference (Triton, TorchServe, ONNX Runtime, TensorRT, etc.)
CTI integration experience with Twilio / SIP / Asterisk
Experience operating large-scale data infrastructure (BigQuery, Redshift, Snowflake, etc.) or data lakes
Implementation experience with dialogue systems combining LLMs (GPT series, Gemini, etc.) and RAG
System development experience utilizing natural language processing or machine learning
Machine learning model development experience using Python, TensorFlow, PyTorch
Experience with chatbot, speech recognition systems, or AI agent development
Full-stack application development experience (TypeScript/React)
Experience launching new businesses/products from the 0→1 phase
Customer negotiation or project management experience
Bilingual (Japanese/English)

Tech Stack
Languages: Python (for framework development), TypeScript / React / Next.js (frontend) / NX
Infrastructure: GCP (containers / Kubernetes), Docker
Voice & ML: Triton / ONNX / TorchServe / PyTorch / TensorFlow
Streaming: Kafka / Pub/Sub / WebRTC / Twilio
Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion, etc.
Work Environment: Mac (Apple Silicon), dual monitors available