AI Audio Engineer (Music AI & Audio Processing)

Posted yesterday

Worldwide

Summary

AI Audio Engineer (Music AI & Audio Processing) Job Overview We are looking for an experienced AI Audio Engineer to join our team in building a next-generation AI-powered Karaoke Entertainment Platform. The ideal candidate will have expertise in digital audio processing, AI-based music technologies, real-time audio streaming, and music synchronization. You will be responsible for developing and integrating advanced audio features that deliver a seamless karaoke experience across mobile applications, venue systems, and cloud services. Responsibilities Design and develop AI-powered audio processing solutions for a karaoke platform. Implement vocal and instrumental stem separation technologies. Integrate third-party AI audio services (e.g., LALAL.AI or similar). Develop real-time karaoke synchronization for lyrics, vocals, and music. Implement pitch detection, key detection, and tempo analysis. Build low-latency audio processing pipelines. Optimize audio quality for playback and live performances. Develop audio effects such as echo, reverb, EQ, compression, and vocal enhancement. Integrate AI APIs for music analysis and audio enhancement. Work closely with backend, mobile, and product teams to deliver scalable audio solutions. Optimize audio processing for cloud and edge devices. Troubleshoot latency, synchronization, and audio quality issues. Participate in architecture discussions and technical planning Required Skills AI & Audio Processing Digital Audio Signal Processing (DSP) AI Audio Engineering Music Information Retrieval (MIR) Audio Feature Extraction Stem Separation Source Separation Karaoke Synchronization Pitch Detection Key Detection Tempo Detection Beat Tracking Vocal Isolation Noise Reduction Audio Enhancement Audio Fingerprinting Audio Technologies FFmpeg GStreamer Web Audio API JUCE Framework PortAudio SoX Librosa Essentia Rubber Band Library SoundTouch OpenSL ES / Core Audio (Preferred) AI / Machine Learning Python PyTorch TensorFlow ONNX Hugging Face OpenAI APIs (if applicable) Audio ML Models Deep Learning for Audio Model Optimization Streaming & Media Real-Time Audio Streaming Low Latency Audio Processing WebRTC HLS/DASH (Preferred) Audio Encoding & Decoding AAC / MP3 / WAV / FLAC Audio Buffer Management Cloud & Backend REST APIs AWS Docker Linux Git CI/CD Microservices Architecture Preferred Experience Karaoke platform development Music streaming applications AI-powered audio applications Voice processing technologies Live audio systems Entertainment or music technology products Experience integrating commercial audio AI APIs Mobile audio optimization (iOS & Android) Nice to Have Experience with LALAL.AI or similar stem separation platforms Experience with Moises AI, Demucs, Spleeter, or Open-Unmix VST/VST3 plugin development Audio plugin integration Music licensing awareness GPU optimization for AI inference Tools & Technologies Python C++ FFmpeg JUCE Librosa Essentia TensorFlow PyTorch Docker AWS GitHub Postman Deliverables AI-based stem separation module Karaoke synchronization engine Pitch & tempo detection module Audio effects processing pipeline Low-latency streaming engine AI audio service integrations Optimized audio APIs Technical documentation Unit & integration testing Ideal Candidate 5+ years of experience in audio engineering or AI audio development. Strong understanding of DSP, music technology, and AI-based audio processing. Experience building production-grade audio applications. Excellent problem-solving and communication skills. Ability to work independently and collaborate with cross-functional teams. Experience with Agile/Scrum development. Upwork Search Keywords

  • $10,000.00

    Fixed-price
  • Intermediate
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type

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Skills and Expertise
Mandatory skills
Vocal Tuning
Sound Mixing
Activity on this job
  • Proposals:5 to 10
  • Last viewed by client:10 hours ago
  • Interviewing:
    4
  • Invites sent:
    9
  • Unanswered invites:
    4
About the client
Member since Nov 6, 2025
  • India
    Mehsana2:03 PM
  • Tech & IT
    Mid-sized company (10-99 people)

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