Full Stack App Developer

As an AI Full Stack Developer at our company, you will be responsible for designing and developing scalable AI applications, Retrieval-Augmented Generation (RAG) pipelines, and enterprise-grade integrations using modern technologies and cloud platforms. Your passion for Generative AI, semantic search, and intelligent automation will drive you to create innovative solutions. Your key responsibilities will include: - Frontend Development: - Design and develop scalable, responsive web applications using React.js and Next.js - Build intuitive user interfaces integrated with AI-powered backend services and APIs - Utilize AI-assisted development tools such as Lovable, Cursor, and Claude for rapid prototyping - Optimize frontend performance, usability, and cross-platform compatibility - Backend and Database Development: - Develop secure and scalable backend services and REST APIs using Python - Design and manage relational databases using PostgreSQL and Supabase - Implement pgvector and vector database architectures for semantic search systems - Ensure application performance, scalability, and data integrity - AI and RAG Pipeline Engineering: - Design and optimize Retrieval-Augmented Generation (RAG) pipelines - Build AI workflows using frameworks like LangChain and LlamaIndex - Integrate OpenAI and Azure OpenAI APIs into production-grade applications - Develop embedding pipelines and knowledge retrieval architectures - Cloud and Enterprise Integrations: - Deploy and manage applications on AWS and Azure cloud platforms - Integrate enterprise solutions using the Microsoft Graph API - Ensure reliability, scalability, security, and monitoring of cloud-hosted applications - Collaborate with cross-functional teams to deliver enterprise AI solutions Qualifications Required: - Strong hands-on experience with React.js and Next.js - Proficiency in Python for backend and AI application development - Experience with Supabase, PostgreSQL, and relational database design - Proven experience building AI-powered applications and RAG pipelines - Hands-on expertise with LangChain and/or LlamaIndex - Experience integrating OpenAI or Azure OpenAI APIs - Familiarity with vector databases and pgvector implementations - Experience deploying applications on AWS and Azure - Strong understanding of REST APIs and cloud-native architectures - Comfortable using AI-assisted coding tools such as Lovable, Cursor, and Claude Preferred Qualifications: - Experience building enterprise-scale AI platforms - Knowledge of semantic search, embeddings, and vector similarity search - Understanding of scalable microservices architecture - Exposure to AI workflow orchestration and automation pipelines - Strong problem-solving and communication skills You will be part of a dynamic team focused on delivering cutting-edge AI solutions and shaping the future of technology. As an AI Full Stack Developer at our company, you will be responsible for designing and developing scalable AI applications, Retrieval-Augmented Generation (RAG) pipelines, and enterprise-grade integrations using modern technologies and cloud platforms. Your passion for Generative AI, semantic search, and intelligent automation will drive you to create innovative solutions. Your key responsibilities will include: - Frontend Development: - Design and develop scalable, responsive web applications using React.js and Next.js - Build intuitive user interfaces integrated with AI-powered backend services and APIs - Utilize AI-assisted development tools such as Lovable, Cursor, and Claude for rapid prototyping - Optimize frontend performance, usability, and cross-platform compatibility - Backend and Database Development: - Develop secure and scalable backend services and REST APIs using Python - Design and manage relational databases using PostgreSQL and Supabase - Implement pgvector and vector database architectures for semantic search systems - Ensure application performance, scalability, and data integrity - AI and RAG Pipeline Engineering: - Design and optimize Retrieval-Augmented Generation (RAG) pipelines - Build AI workflows using frameworks like LangChain and LlamaIndex - Integrate OpenAI and Azure OpenAI APIs into production-grade applications - Develop embedding pipelines and knowledge retrieval architectures - Cloud and Enterprise Integrations: - Deploy and manage applications on AWS and Azure cloud platforms - Integrate enterprise solutions using the Microsoft Graph API - Ensure reliability, scalability, security, and monitoring of cloud-hosted applications - Collaborate with cross-functional teams to deliver enterprise AI solutions Qualifications Required: - Strong hands-on experience with React.js and Next.js - Proficiency in Python for backend and AI application development - Experience with Supabase, PostgreSQL, and relational database design - Proven experience building AI-powered applications and RAG pipelin