Full Stack Developer

1 day ago

Sahibzada Ajit Singh Nagar, India Lytegen Full time

ROLE: Full Stack Developer (AI Integration + Module Training Specialist)Mission Build smart, scalable systems — not static websites. This person should be able to design, develop, and deploy full-stack applications with integrated AI models and custom training modules, connecting data pipelines and front-end interfaces with intelligence baked in. Core Responsibilities 1. 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. 2. 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.). 3. 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. 4. 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. 5. 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 Frontend React.js, Next.js, Tailwind, Redux, Zustand Backend Node.js, Express.js, RESTful APIs Databases MongoDB, PostgreSQL, Firebase, Vector DBs AI Tools OpenAI API, LangChain, Hugging Face, Pinecone Scripting Python (for data handling + AI API usage) Cloud AWS, GCP, Vercel, Render DevOps Git, Docker, CI/CD basics Bonus Knows prompt engineering, embeddings, and retrieval-based AI architecture Ideal Background 5–7 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.”

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