Senior Full Stack Engineer – AI Audio Stem Separation Platform

Posted 10 hours ago

Worldwide

Summary

We’re building a high-performance AI audio platform focused on studio-quality stem separation and intelligent enhancement. We already have a strong, working POC using FastAPI + HT-Demucs and now need a solid backend engineer to help turn it into a production-ready MVP. This is hands-on work building the core systems that power uploads, heavy ML job processing, user projects, and reliable delivery of enhanced audio stems. What You’ll Work On Productionize and scale our existing FastAPI backend. Implement authentication, project & user management, and async job processing (queuing + status tracking). Create the integration layer that connects the web app to our core audio processing engine. Build out database models, file/storage handling (S3), and subscription/billing flows with Stripe. Add proper error handling, logging, monitoring, and observability so everything runs reliably at scale. Help design a clean, maintainable architecture that can grow beyond the MVP. Requirements Strong experience with FastAPI (Python) and async task queues (Celery, RQ, or similar). Solid PostgreSQL skills and comfort with ORMs. Experience handling ML/audio pipelines, large file processing, and cloud storage. Production-first mindset — you care about reliability, performance, and clean code. Familiarity with Stripe integration is a plus. Nice-to-Haves Hands-on work with Demucs, torchaudio, Pedalboard, or similar audio/ML tools. Docker, cloud deployment (AWS/GCP), and infrastructure knowledge.

  • More than 30 hrs/week
    Hourly
  • 3-6 months
    Duration
  • Intermediate
    Experience Level
  • $15.00

    -

    $35.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Python
JavaScript
React
Activity on this job
  • Proposals:50+
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Oct 3, 2025
  • United States
    Tempe6:18 AM
  • $6K total spent
    44 hires, 3 active
  • 365 hours

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