AI Full-Stack Developer

Full-Stack Application Development - Design, develop, and maintain scalable web applications and backend services. - Build robust APIs, system integrations, and business logic that support operational requirements. - Develop responsive and user-friendly frontend interfaces that deliver excellent user experiences. - Ensure application performance, security, scalability, and maintainability. Backend Architecture & Database Management - Design and optimize backend architecture, APIs, and database structures. - Develop efficient data models and write high-performance database queries. - Manage database optimization, maintenance, and data integrity processes. - Troubleshoot and resolve system bottlenecks, performance issues, and concurrency-related challenges. - Implement safeguards against duplicate transactions, deadlocks, and data inconsistencies. Data Visualization & Business Intelligence - Integrate business data with reporting and analytics platforms. - Develop dashboards, reports, and data visualization tools to support decision-making. - Optimize data import/export processes for large datasets and reporting requirements. - Ensure efficient data processing and seamless reporting experiences. Third-Party System Integration - Integrate applications with external systems such as Payment Gateways, Logistics Platforms, Verification Services, CRM Systems, ERP Systems, and Cloud Services. - Troubleshoot API connectivity and integration issues. - Maintain secure and reliable data exchange between systems. AI-Assisted Development & Automation - Utilize AI-powered development tools to accelerate software development workflows. - Apply prompt engineering techniques to improve code generation quality and development efficiency. - Translate business requirements, user feedback, and issue reports into effective AI-assisted development tasks. - Leverage AI tools for Code Generation, Automated Testing, Code Reviews, Debugging, Documentation, and Security Analysis. System Quality & Continuous Improvement - Conduct system testing, debugging, and performance optimization. - Identify and resolve software defects, security vulnerabilities, and architectural weaknesses. - Participate in system enhancements, modernization projects, and technical innovation initiatives. - Stay updated with emerging technologies, AI development trends, and software engineering best practices. Requirements Education & Experience - Diploma or Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or related fields. - Minimum 3 years of experience in Full-Stack Development or Software Engineering. - Proven experience building and maintaining production-level web applications. - Experience working across frontend, backend, and database technologies. Technical Skills - Frontend Development: HTML5, CSS3, JavaScript/TypeScript, React.js, Vue.js, Angular, or similar frameworks. - Backend Development: Node.js, PHP, Python, .NET, Java (advantageous). - Database Technologies: MySQL, PostgreSQL, SQL Server, MongoDB, Firebase. - API & Integration: REST API Development, API Integration, Webhooks, Third-Party System Integration. - Cloud & DevOps (Advantage): AWS, Azure, Google Cloud Platform, Docker, CI/CD Pipelines. AI & Automation Skills - Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf, or other AI development assistants. - Strong prompt engineering and AI workflow optimization skills. - Ability to utilize AI tools for Software Development, Testing, Debugging, Documentation, and Automation. Soft Skills - Strong analytical and problem-solving abilities. - Ability to understand business requirements and convert them into technical solutions. - Excellent communication and collaboration skills. - Self-motivated and able to work independently. - Strong attention to detail and quality.