Senior AI SaaS Platform Architect / Lead Backend Developer
Budget: ₹12,500 – ₹37,500 INR
# Senior AI SaaS Platform Architect / Lead Backend Developer
## Project
We are building an enterprise-grade AI SaaS platform for Lyrics, Music, Voice, and AI Video generation.
The platform is designed as a modern enterprise SaaS system with:
* Multi-Tenant Architecture
* White-label Platform
* AI Gateway
* Control Plane
* AI Plane
* Provider Adapter Architecture
* Feature-Based Subscription Engine
* Credits & Wallet System
* SDK Platform
* Developer Platform
* Enterprise API Platform
* AI Job Queue
* GPU Workers
# What You Will Build
The platform includes:
* AI Gateway
* Lyrics Engine
* Music Engine
* Voice Engine
* Video Engine
* Provider Adapter Layer
* Credits Engine
* Wallet
* Subscription Engine
* Feature Entitlement Engine
* Organization Management
* White-label Platform
* Developer Platform
* REST APIs
* SDK APIs
* Background Job Processing
------
Our project will contain approximately:
* 60–70% → Use of trusted Open Source Components.
* 30–40% → Your Custom Platform and Business Logic.
-----------
Our goal is to build a scalable AI platform similar in architecture to modern AI infrastructure platforms, while integrating open-source and commercial AI providers through a provider-independent architecture.
---
# Technology Stack
Backend
* Python
* FastAPI
* PostgreSQL
* Redis
* Celery
Frontend
* Next.js
* MakerKit Lite
* Tailwind CSS
Infrastructure
* Docker
* Docker Compose
* Linux
* GPU Workers
Authentication
* Self-hosted Supabase
* JWT
* RBAC
AI Providers
* AudioCraft
* Amphion
* OpenVoice
* RVC
* ComfyUI
* Future AI Providers
---
Core Responsibilities:
Design and implement a Modular AI Gateway (FastAPI) using an Adapter Pattern.
Setup and manage GPU Worker Architecture (using RunPod or similar GPU providers).
Implement an Orchestration Layer (Celery/Redis) for asynchronous job processing.
Build a scalable backend capable of handling Multi-tenancy and Enterprise SDKs.
Ensure clean architecture (Routers, Services, Repositories).
Document the entire infrastructure for future maintainability.
Technical Stack Requirements:
Backend: Python (FastAPI).
Database/Auth: Supabase.
Queueing: Redis/Celery.
Infrastructure: Docker, GPU Orchestration (RunPod), Cloud Infrastructure.
AI Exposure: Experience with AudioCraft, RVC, Coqui TTS, or similar frameworks is a plus.
------
# What We Expect
We are NOT looking for someone who simply writes code.
We are looking for someone who can think like a Platform Architect and build clean, maintainable systems.
The architecture must remain:
* Provider Independent
* Model Agnostic
* Multi-Tenant
* White-label Ready
* Enterprise Ready
* Scalable
* Secure
Business logic must never depend on a specific AI provider.
---
# Required Skills
Strong experience with:
* Python
* FastAPI
* PostgreSQL
* Redis
* Celery
* Docker
* Linux
* REST API Design
* Background Workers
* Authentication & Authorization
* Enterprise SaaS Development
Experience with AI model integration is highly preferred.
---
# Nice to Have
Experience with:
* AudioCraft
* Amphion
* OpenVoice
* RVC
* ComfyUI
* GPU Infrastructure
* CUDA
* RunPod or other GPU cloud providers
* AI Media Pipelines
---
# Project Status
The project architecture has already been designed.
Documentation already exists for:
* Engineering Constitution
* Software Architecture
* Database Architecture
* Master Roadmap
* Development Standards
* Security Architecture
* AI Platform Architecture
You will implement the platform based on these documents.
---
# Important Technical Question
Please explain how you would build an enterprise AI platform that supports:
* Multiple AI providers
* Provider-independent architecture
* Multi-tenancy
* White-label
* Credits
* Feature-based subscriptions
* Background AI job processing
* SDKs
* Future AI provider integrations
## Project
We are building an enterprise-grade AI SaaS platform for Lyrics, Music, Voice, and AI Video generation.
The platform is designed as a modern enterprise SaaS system with:
* Multi-Tenant Architecture
* White-label Platform
* AI Gateway
* Control Plane
* AI Plane
* Provider Adapter Architecture
* Feature-Based Subscription Engine
* Credits & Wallet System
* SDK Platform
* Developer Platform
* Enterprise API Platform
* AI Job Queue
* GPU Workers
# What You Will Build
The platform includes:
* AI Gateway
* Lyrics Engine
* Music Engine
* Voice Engine
* Video Engine
* Provider Adapter Layer
* Credits Engine
* Wallet
* Subscription Engine
* Feature Entitlement Engine
* Organization Management
* White-label Platform
* Developer Platform
* REST APIs
* SDK APIs
* Background Job Processing
------
Our project will contain approximately:
* 60–70% → Use of trusted Open Source Components.
* 30–40% → Your Custom Platform and Business Logic.
-----------
Our goal is to build a scalable AI platform similar in architecture to modern AI infrastructure platforms, while integrating open-source and commercial AI providers through a provider-independent architecture.
---
# Technology Stack
Backend
* Python
* FastAPI
* PostgreSQL
* Redis
* Celery
Frontend
* Next.js
* MakerKit Lite
* Tailwind CSS
Infrastructure
* Docker
* Docker Compose
* Linux
* GPU Workers
Authentication
* Self-hosted Supabase
* JWT
* RBAC
AI Providers
* AudioCraft
* Amphion
* OpenVoice
* RVC
* ComfyUI
* Future AI Providers
---
Core Responsibilities:
Design and implement a Modular AI Gateway (FastAPI) using an Adapter Pattern.
Setup and manage GPU Worker Architecture (using RunPod or similar GPU providers).
Implement an Orchestration Layer (Celery/Redis) for asynchronous job processing.
Build a scalable backend capable of handling Multi-tenancy and Enterprise SDKs.
Ensure clean architecture (Routers, Services, Repositories).
Document the entire infrastructure for future maintainability.
Technical Stack Requirements:
Backend: Python (FastAPI).
Database/Auth: Supabase.
Queueing: Redis/Celery.
Infrastructure: Docker, GPU Orchestration (RunPod), Cloud Infrastructure.
AI Exposure: Experience with AudioCraft, RVC, Coqui TTS, or similar frameworks is a plus.
------
# What We Expect
We are NOT looking for someone who simply writes code.
We are looking for someone who can think like a Platform Architect and build clean, maintainable systems.
The architecture must remain:
* Provider Independent
* Model Agnostic
* Multi-Tenant
* White-label Ready
* Enterprise Ready
* Scalable
* Secure
Business logic must never depend on a specific AI provider.
---
# Required Skills
Strong experience with:
* Python
* FastAPI
* PostgreSQL
* Redis
* Celery
* Docker
* Linux
* REST API Design
* Background Workers
* Authentication & Authorization
* Enterprise SaaS Development
Experience with AI model integration is highly preferred.
---
# Nice to Have
Experience with:
* AudioCraft
* Amphion
* OpenVoice
* RVC
* ComfyUI
* GPU Infrastructure
* CUDA
* RunPod or other GPU cloud providers
* AI Media Pipelines
---
# Project Status
The project architecture has already been designed.
Documentation already exists for:
* Engineering Constitution
* Software Architecture
* Database Architecture
* Master Roadmap
* Development Standards
* Security Architecture
* AI Platform Architecture
You will implement the platform based on these documents.
---
# Important Technical Question
Please explain how you would build an enterprise AI platform that supports:
* Multiple AI providers
* Provider-independent architecture
* Multi-tenancy
* White-label
* Credits
* Feature-based subscriptions
* Background AI job processing
* SDKs
* Future AI provider integrations