AI/Full-Stack Developer Needed for IGTA-Tech

Senior AI/Full-Stack Developer - IGTA-Tech

Location: Remote (Worldwide)

Type: Full-time Contract / Retainer

Compensation: $15-150/hr based on experience and locaton

Duration: 6+ months (ongoing)

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About IGTA-Tech

We build AI-powered SaaS platforms for immigration services, document automation, content generation, and business intelligence. Our portfolio includes 80+ repositories with 15+ live production applications.

We need elite developers who can ship fast, debug hard problems, and build scalable AI-powered systems.

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REQUIRED: Pre-Qualification

Before applying, you MUST:

1. Go to https://aivisaevaluation.online
2. Complete the technical evaluation
3. Score 50% or higher
4. Attach a screenshot of your score to your application

Applications without a qualifying score will be automatically rejected.

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Required Technical Skills

Frontend (Expert Level)

- React 18+ - Hooks, Context, Suspense, Server Components
- Next.js 14 - App Router, API Routes, Middleware, ISR/SSR
- TypeScript - Strict mode, generics, utility types
- Tailwind CSS - Custom themes, responsive, animations
- State Management - Zustand, Jotai, or React Query

Backend (Expert Level)

- Supabase - PostgreSQL, RLS, Auth, Storage, Edge Functions
- Node.js - Express, Fastify, or Next.js API Routes
- Python - FastAPI, async/await, data processing
- PostgreSQL - Complex queries, indexing, migrations
- REST APIs - Design, versioning, rate limiting

AI/ML Integration (Critical)

- Claude API (Anthropic) - SDK, streaming, tool use, prompt engineering
- OpenAI API - GPT-4, GPT-4o, DALL-E 3, Whisper, embeddings
- Perplexity API - Research queries, citations, web search
- Google Gemini - Multimodal inputs, RAG integration
- Mistral API - Vision, document processing, OCR
- LangChain/LlamaIndex - RAG pipelines, vector databases
- Prompt Engineering - System prompts, few-shot learning, chain-of-thought

DevOps & Deployment

- Vercel - Deployments, environment variables, edge functions
- Netlify - Build configs, redirects, serverless functions
- Railway - Container deployments, databases
- Google Cloud Run - Docker, serverless scaling
- GitHub Actions - CI/CD pipelines, automated testing
- Docker - Containerization, compose files

Third-Party Integrations

- Stripe - Payments, subscriptions, webhooks
- SendGrid / Resend - Transactional emails
- Inngest - Background jobs, event-driven workflows
- SignWell / DocuSign - E-signature APIs
- LlamaParse - PDF/document parsing
- Tesseract OCR - Image text extraction
- Archive.org API - Web archiving
- YouTube Data API - Video content processing
- Spotify/SoundCloud API - Music metadata (nice to have)
- FFmpeg - Audio/video processing (nice to have)

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Project Types You'll Work On

1. AI Document Generation

- Build systems that generate 100+ page legal documents in 10 minutes
- Multi-AI orchestration (Claude + GPT + Perplexity working together)
- RAG knowledge bases for domain expertise
- PDF generation and manipulation

2. AI-Powered SaaS Platforms

- Two-sided marketplaces with AI matching
- Subscription management with Stripe
- User authentication and authorization
- Real-time features and notifications

3. Content Automation

- Self-learning blog generators (2 posts/day, fully autonomous)
- SEO optimization with AI
- Social media auto-publishing
- YouTube content repurposing

4. Business Intelligence

- Fraud investigation platforms (20+ data sources)
- AI-powered analysis and scoring
- Lead management with multi-AI processing
- Document classification and extraction

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Key Responsibilities

1. Build AI-Powered Features - Integrate Claude, GPT, Perplexity into production apps
2. Ship Fast - Daily/weekly releases, iterative development
3. Debug Hard Problems - AI API failures, database issues, deployment errors
4. Design Scalable Systems - Handle concurrent AI requests, rate limiting
5. Write Production Code - TypeScript strict mode, proper error handling
6. Optimize Costs - Efficient AI API usage, caching strategies
7. Document Everything - READMEs, API docs, architecture decisions

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What We're Looking For

Must Have

- 5+ years full-stack development
- 3+ years React/Next.js production experience
- 2+ years integrating AI APIs in production
- Experience with PostgreSQL/Supabase
- Proven track record shipping AI-powered products
- Strong async communication skills

Ideal Candidate

- Has built and deployed 10+ production applications
- Comfortable with multi-AI orchestration (using 3+ AI APIs together)
- Experience with document generation or legal tech
- Familiar with RAG pipelines and vector databases
- Can work independently with minimal supervision
- Fast learner who adapts to new AI models quickly

Red Flags (Don't Apply If)

- You've only used ChatGPT, never integrated AI APIs
- You need step-by-step instructions for everything
- You can't debug production issues independently
- You've never deployed to Vercel/Netlify
- You don't understand async/await and streaming

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Compensation & Benefits

| Level | Hourly Rate | Monthly Retainer |
|-------------|-------------|------------------|
| Mid-Level | $50-75/hr | $4,000-6,000 |
| Senior | $75-100/hr | $6,000-10,000 |
| Expert/Lead | $100-150/hr | $10,000-15,000 |

Additional:
- Performance bonuses for shipped features
- Equity opportunity for long-term partners
- Flexible hours (async-friendly)
- Access to all our AI API credits for development
- Work on cutting-edge AI products

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How to Apply

Step 1: Qualification (REQUIRED)

- Go to https://aivisaevaluation.online
- Complete the evaluation
- Score 50% or higher
- Screenshot your result

Step 2: Submit Application

1. Screenshot of 50%+ evaluation score (MANDATORY - no exceptions)
2. Portfolio - Links to 3+ live production apps you've built (with AI features preferred)
3. GitHub Profile - Show us your code quality
4. Technical Answers (Required):

4. a) Describe a complex AI feature you've built in production. What AI APIs did you use? How did you handle errors and rate limits?

4. b) How would you architect a system that uses Claude for writing, GPT for summarization, and Perplexity for research - all in one workflow?

4. c) What's your approach to prompt engineering? How do you iterate and improve prompts?

4. d) How do you handle streaming responses from AI APIs in a Next.js application?

4. e) Describe how you'd build a RAG system for a knowledge base with 10,000+ documents.
5. Availability - Hours per week, timezone, start date
6. Rate - Hourly or monthly expectation

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Interview Process

1. Application Review (48 hours) - We check your score and portfolio
2. Video Call (30 min) - Technical discussion, culture fit
3. Trial Project (1 week, paid) - Real feature on our codebase
4. Full Engagement - Ongoing work

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Our Tech Stack

Frontend: Next.js 14, React 18, TypeScript, Tailwind CSS
Backend: Supabase (PostgreSQL), Python FastAPI, Node.js
AI: Claude 3.5, GPT-4o, Perplexity, Gemini, Mistral
Payments: Stripe (subscriptions, one-time, webhooks)
Email: SendGrid, Resend
Jobs: Inngest (background processing)
Deployment: Vercel, Netlify, Railway, GCP Cloud Run
Storage: Supabase Storage, Google Drive API
Auth: Supabase Auth, Auth0
Documents: PDF generation, LlamaParse, Tesseract OCR
Vector DB: Supabase pgvector (for RAG)

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Why Join IGTA-Tech?

- Cutting-Edge Work - Build with the latest AI models as they release
- Real Impact - Help people navigate complex immigration processes
- Ship Fast - See your code in production within days
- Growth - Learn from a portfolio of 80+ diverse projects
- Flexibility - Remote, async-friendly, results-focused

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Apply Now

Top candidates will be contacted for paid assessment.

Remember: 50%+ score on https://aivisaevaluation.online is REQUIRED to apply.

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IGTA-Tech - Building the future of AI-powered immigration technology