Senior Full-Stack AI Developer - Whitelabel SaaS Platform

Location: Remote
Employment Type: Full-time Contract/Employee
Salary Range: Negotiable
Experience Level: Senior (8-12+ years)

About This Opportunity - before I start, we're building MANY applications, tools and automations, we have over 200,000 business owners who've come to us to scale with AI. Our brand is AI For Business

We're seeking an exceptional Senior Full-Stack AI Developer to single-handedly architect and build a comprehensive AI-powered SaaS platform similar to ---------- (but way fewer models) with whitelabel capabilities.

Looking for a developer who thrives on complex technical challenges and wants to create the next generation of AI-powered applications from the ground up

What You'll Build

You'll be responsible for creating a complete AI-powered web application featuring:
- Multi-AI Model Integration: ChatGPT 4o, Claude Sonnet 4, Perplexity Pro, and free models via OpenRouter
- Advanced Image Generation: GPT 4o image, Ideogram, Flux via Fal.ai API
- Video Generation: SORA, VEO 3, Minimax, Kling integration via Fal.ai API
- Custom LoRA Training: Flux-trained LoRA creation capabilities via Fal.ai API
- Whitelabel Infrastructure: Complete white-labeling for partner businesses
- Business Integrations: Go High Level (GHL) content pipeline
- Enterprise Features: OAuth, Stripe billing, commission tracking

Core Responsibilities

AI Integration & Architecture:
- Design and implement seamless integration with multiple AI APIs (OpenRouter, Fal.ai, OpenAI, Anthropic)
- Build custom tool creation system similar to GPT Actions
- Implement LoRA training workflows for Flux models
- Optimize AI API usage for cost-efficiency and performance

Full-Stack Development:
- Develop responsive React/Next.js frontend with real-time chat interfaces
- Build scalable backend APIs using Node.js/Python with proper architecture
- Design and implement multi-tenant database systems (PostgreSQL/MongoDB)
- Create real-time communication systems using WebSockets

SaaS & Business Logic:
- Architect complete whitelabel infrastructure with custom domains/branding
- Implement complex Stripe billing with multiple subscription tiers
- Build commission tracking systems for partner revenue sharing
- Develop Go High Level integration for automated content pushing

DevOps & Infrastructure:
- Deploy and manage cloud infrastructure (AWS/Azure) with auto-scaling
- Implement CI/CD pipelines for automated testing and deployment
- Set up monitoring, logging, and security systems
- Manage database optimization and backup strategies

Required Technical Skills

Frontend Mastery:
- 5+ years React/Next.js with TypeScript
- Advanced CSS frameworks (Tailwind, styled-components)
- Real-time UI development (WebSockets, ---------- )
- Mobile-responsive design and PWA development

Backend Expertise:
- 5+ years Node.js/Express or Python/FastAPI
- RESTful API design and GraphQL experience
- Multi-tenant database architecture and design
- Microservices architecture understanding

AI/ML Integration:
- 3+ years hands-on AI API integration experience
- Deep understanding of LLM capabilities and limitations
- Experience with model fine-tuning and prompt engineering
- Knowledge of AI cost optimization strategies

Database & Infrastructure:
- Advanced PostgreSQL/MongoDB with multi-tenancy patterns
- Redis caching and session management
- Docker/Kubernetes containerization
- AWS/Azure cloud services and serverless functions

Business Integration:
- Stripe Connect and complex billing implementations
- OAuth 2.0 and JWT authentication systems
- Third-party API integration (Go High Level, etc.)
- Webhook management and real-time data sync

Preferred Qualifications

- Education: Bachelor's in Computer Science, Engineering, or equivalent experience
- Experience: 8-12+ years full-stack development with 3+ years AI integration
- SaaS Background: Previous experience building multi-tenant SaaS applications
- Whitelabel Experience: Background in white-label software development
- Startup Experience: Ability to work independently with minimal oversight
- Learning Agility: Proven track record of rapidly adopting new technologies

What Makes You The Perfect Fit

Technical Polyglot:
- You're comfortable switching between multiple programming languages and frameworks
- You can architect systems from database to UI with equal expertise
- You understand both the technical and business implications of your decisions

AI-Forward Mindset:
- You stay current with the rapidly evolving AI/ML landscape
- You understand how to integrate complex AI services into production applications
- You can optimize for both performance and cost in AI-heavy applications

Independent Operator:
- You can take a project from concept to production with minimal guidance
- You're comfortable making architectural decisions that affect the entire platform
- You can balance rapid development with scalable, maintainable code

Business Acumen:
- You understand SaaS business models and subscription economics
- You can implement complex billing and commission systems
- You think about user experience alongside technical implementation

What We Offer

Compensation:
- Competitive salary
- % on recurring fees (currently have 1200 $97 mth paying members)
- Performance bonuses tied to platform success

Work Environment:
- 100% remote with flexible hours
- Latest software tools provided
- Professional development budget for AI/tech conferences
- Direct impact on product direction and company growth

Growth Opportunity:
- Lead technical team expansion as we scale
- Potential CTO track as company grows

Application Process

To Apply, Please Include:

1. Portfolio/GitHub: Links to similar SaaS projects, AI integrations, or multi-tenant applications
2. Cover Letter: Explain your experience with AI APIs and complex full-stack projects
3. Technical Questions (answer briefly):
- How would you architect a multi-tenant database for this type of application?
- What's your experience with AI API integrations and cost optimization?
- How would you implement real-time chat with multiple AI models?
- Describe your approach to whitelabel infrastructure

Next Steps:
- Initial technical screening call
- Technical architecture discussion
- Code review of relevant past projects
- Final interview with founding team