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Full-Stack AI Engineer (Music AI Platform)

  • JavaScript
  • Python
  • PostgreSQL
  • React
  • Node.js
  • Docker
  • TypeScript
  • REST
  • Redis
  • AWS
  • Front-end development
  • UI design
  • WebSocket
  • Backend development
  • Google Cloud Platform
  • Next.js
  • Visualization
  • CI/CD
  • User ChatGPT
  • OpenAI
  • AI integration
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Описание вакансии

We are looking for a senior Full-Stack AI Engineer to independently build an AI-powered interactive music learning platform from the ground up.

The platform will include:

Piano performance analysis from audio recordings • Comparison against reference MIDI/music scores • Sheet music processing (MusicXML / OMR) • AI-generated feedback and practice plans • Voice conversations with AI • Interactive AI-led piano lessons • Real-time lesson rooms

The developer must be able to fully lead technical architecture andimplementation independently.

Frontend:

  • Next.js / React
  • TypeScript
  • Real-time UI updates
  • WebSocket integration
  • Audio visualization
  • Responsive dashboard systems
  • Session-based interfaces

Backend:

  • Node.js (preferred)
  • Python services for AI/audio processing
  • REST APIs + WebSockets
  • Scalable backend architecture
  • Queue systems and asynchronous task processing
  • Authentication systems
  • Subscription/payment integrations

AI / Audio:

  • OpenAI API / LLM integrations
  • Real-time conversational AI systems
  • Speech/audio processing pipelines
  • Music note detection and timing analysis
  • Audio transcription/alignment systems
  • MIDI/audio synchronization understanding
  • AI-generated educational workflows
  • Long-context memory systems
  • Structured AI lesson orchestration

Infrastructure:

  • AWS / GCP / scalable cloud infrastructure
  • Docker
  • CI/CD pipelines
  • PostgreSQL
  • Redis
  • File storage systems
  • CDN optimization
  • Load balancing and scalability optimization

Platform Features (High-Level):

  • Users can upload and analyze instrument performances
  • AI-assisted interactive practice sessions
  • Real-time lesson feedback and adaptive guidance
  • AI-generated exercises and progression systems
  • Dynamic lesson orchestration based on skill level
  • Session recording and playback systems
  • AI conversational educational assistant
  • Music-learning workflow automation
  • Personalized progression tracking
  • Intelligent recommendation systems

We are NOT looking for:

  • only frontend developers
  • no-code builders
  • simple GPT wrapper developers
  • junior AI integrators When applying, please answer:
    1. Have you worked with audio analysis, MIDI, MusicXML, or music-related applications before?
    2. What do you think is the biggest technical challenge in this project?

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