AI/ML & AI-native Music SaaS Multi-tenancy Platform

We are building our project AI-native Music SaaS Platform. The platform allows users to generate high-quality songs using AI, including lyrics generation, music composition, audio processing, and future AI video generation. Our architecture is based on [login to view URL] + FastAPI + Supabase + Open Source AI Models (AudioCraft, ACE-Step, ComfyUI, Qwen)**. We are not building AI models from scratch—we integrate and customize leading open-source AI projects using our own AI Gateway, SDK, and orchestration layer. Our goal is to build a scalable, enterprise-grade AI platform where users can create music, developers can extend the platform through plugins, and businesses can integrate via APIs. At the moment, we are looking for experienced developers to help build different modules of the platform. Your Responsibilities: The priorities for MVP Phase 1 are: 1. Control Plane 2. AI Gateway 3. Job Queue (Celery + Redis) 4. GPU Worker Architecture 5. Credits & Wallet & Billing 6. Subscription & Feature Entitlements 7. API Platform 8. Developer SDK 9. Multi-tenancy 10. White-label Foundation 11. Admin Portal 12. Multi-Tenancy Technology Stack • Python • FastAPI • [login to view URL] • Tailwind CSS • PostgreSQL • Redis • Docker • RunPod Serverless • Object Storage • GitHub Goal: Build the platform foundation. AI Capability & Enterprise Expansion Modules: Advanced Music Advanced Lyrics Advanced Voice Media Platform Image Platform Avatar Platform AI Agents Marketplace Creator Economy Workflow Automation Analytics Enterprise Expansion Goal: Expand platform capabilities without redesign. For AI models, we want a provider-agnostic architecture. We will start by integrating AudioCraft, and later add additional providers such as ACE-Step and other compatible open-source models without changing the platform architecture. Our goal is to build a scalable AI platform rather than a single-model application. Architecting and developing the FastAPI backend for AI model orchestration. Integrating AI models (AudioCraft, ACE-Step, ComfyUI) with Celery/Redis job queues. Building a robust Credit System and Stripe billing integration. Implementing clean, type-safe Python SDK for our internal and future public use. Required Skills (The "Must-Haves"): Python Expert: 5+ years of experience with FastAPI and asynchronous programming. AI/ML Experience: Hands-on experience with GenAI models (AudioCraft, Diffusers, LLMs) and running models on GPU (RunPod/Lambda). Full-Stack Mindset: Comfortable with [login to view URL] and Supabase. Architectural Knowledge: Experience with microservices, job queues (Redis/Celery), and Dockerization. Previous experience in building SaaS products or developer platforms (SDKs). You will be working on a cutting-edge "SDK-First" AI architecture. Opportunity to influence the core architecture of a high-growth AI SaaS. Professional, tech-driven, and high-performance environment. Mention your experience with Python FastAPI and AI model integration. Please provide links to your GitHub or a project where you built a complex AI pipeline. Skills required Developer Skills • Python (5–10+ years preferred) • FastAPI • PostgreSQL • Redis • Docker • REST APIs • JWT/RBAC • Async programming • System Design • AI integrations • PyTorch • Hugging Face • ACE-Step • JWhisper • FFmpeg • CUDA • GPU Optimization • ComfyUI We would like to humbly request that the same person who has previously worked on the project related to the application, please send us the proposal.

Project ID: 40552701