Full-Stack Software & Platform Developer

ROLE: Full Stack Developer (AI Integration + Module Training Specialist)Mission

full-stack applications with integrated AI models and custom training modules

Core Responsibilities

• Full Stack Development (End-to-End)
• Architect and develop scalable applications using Python / React / Next.js / Node.js / Express / MongoDB / PostgreSQL
• Handle both frontend and backend development — UI, APIs, and database logic
• Ensure clean code, modular structure, and reusable components
• AI Integration & Model Handling
• Integrate OpenAI API, LangChain,, or custom AI APIs for NLP, image, or data analysis use cases
• Create custom training modules where the AI can learn from structured datasets (CSV, text, PDFs, or user inputs)
• Implement vector databases (like Pinecone, Weaviate, FAISS) for contextual recall and AI memory
• Fine-tune existing models for internal use (chatbots, content generation, recommendation systems, etc.)
• Automation & API Orchestration
• Set up backend pipelines using Python / Node for automation tasks
• Use Zapier, Make (Integromat), or custom webhooks to connect third-party apps and tools
• Build data ingestion workflows that can pull, clean, and push data for AI consumption
• Cloud Deployment & Maintenance
• Deploy and manage applications on AWS / Vercel / Render / GCP
• Set up CI/CD pipelines, environment variables, error monitoring, and logging
• Ensure fast response times, uptime stability, and version control via Git/GitHub.
• Frontend + AI UX Integration
• Build clean, intuitive dashboards to visualize AI responses, metrics, or training data
• Implement real-time updates (Sockets / Webhooks) for interactive interfaces
• Focus on user experience when interacting with AI modules — simplicity + clarity
  

Required Skill Stack

Category

Tools / Knowledge

Ideal Background

• 3-6 years of full stack experience with proven AI integration or automation projects
• Built or contributed to a real AI app, chatbot, or SaaS product
• Understands both coding logic and data structure for AI use cases
• Has a product mindset — focuses on usability and scalability, not just "getting it to work."