FullStack AI Developer

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About VoicePing

• Our Product
• Product Development Journey
• J-StarX Silicon Valley Program
• Insights from 500 Global’s J-StarX Program
• Alchemist Accelerator Participation
• Company Profile

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Company Achievements

• 1000+ paying enterprise customers
• $2.3M USD total investment as SEED
• Recognition from global accelerators (500 Global, Rainmaking APAC, AlchemistX)

Our diverse team includes elite AI developers from SoftBank, Rakuten, IBM, and more

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Technical Infrastructure Overview

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Core AI Stack

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Development Stack

• Core: React, TypeScript, Flutter (iOS, Android)
• Real-time: WebSocket, WebRTC for audio streaming
• UI Components: Ant Design, Flutter

• Primary: Node.js (TypeScript), Python (FastAPI), Golang
• APIs: REST

• Cloud Platforms: AWS, GCP, Azure, VPS, OnPremise
• CI/CD: GitHub Actions, Azure CodePipeline

• Tools: PyTorch, Hugging Face, Llama, Unsloth, Qwen

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Core Responsibilities

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Infrastructure Development

• Build and maintain real-time audio processing pipelines
• Implement high-performance API endpoints for translation services
• Develop and optimize WebSocket connections for live translation
• Create and maintain containerized microservices

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AI Integration

• Collaborate with ML engineers on model deployment
• Implement model serving infrastructure
• Optimize inference pipelines for low latency
• Develop monitoring systems for model performance

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AI Model Creation

• Design data pipeline strategy and collect high-quality data
• Adjust AI model parameters (hyperparameters, architecture) to improve VRAM efficiency and inference speed
• Create model evaluation strategy, analyze results, and determine the right direction
• Research latest OSS models and papers to improve current models
• Publish research articles and contribute to OSS ecosystem

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Application Development

• Build responsive web interfaces for real-time translation
• Implement offline translation capabilities
• Create developer tools and SDKs
• Develop internal dashboards for system monitoring

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Technical Requirements

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Must Have

• 0.5-3 years of experience with React and TypeScript (or capability to create quick frontend prototypes)
• Some experience with Node.js and Python or similar frameworks
• Basic understanding of CI/CD principles
• Experience with cloud platforms (AWS/GCP/Azure)
• Strong interest in AI technologies and ecosystems

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Nice to Have

• Audio and Video Digital processing
• Knowledge of ML model deployment and inference optimization
  • See our research: Translation Inference Throughput, Translation Bottleneck
• Background in NLP or speech recognition or translation research
• Understanding of high-performance computing and scalable data processing
  • See our research: Go WebSocket Proxy

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Current Technical Challenges

• Optimizing real-time audio processing for low latency
• E2E model creation for emotional speech translation
• E2E model creation for AI voice agent bot
• Scaling ML model inference to minimize inference speed with low energy
• Implementing efficient offline translation
• Building robust monitoring systems to support our infrastructures
• Developing SDK for third-party integrations
• Large-scale multilingual training data collection and creation

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Growth Opportunities

• Deep dive into ML infrastructure and ecosystem
• Learn advanced audio processing
• Machine learning training framework
• Data pipeline for AI model training data
• Master distributed systems

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Benefits

• Competitive salary based on experience: 7,000,000 - 12,000,000
• Flexible work arrangements (hybrid/remote)
• Health insurance
• Regular technical workshops

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Location

• Tokyo (primary)
• Singapore office (expanding) - if you have Singapore residency
• Remote work options available (Currently 85% remote, 15% office)

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How to Apply

1. Resume/CV with technical projects
2. Please clarify how you can contribute and what you want to do