Position Details: Full Stack Developer (ML GenAI, Front-End, Back-End)
Experience: 2+ Years
What You Will Do:
- Frontend Development: Design, develop, and maintain responsive web applications using React.js and modern UI frameworks.
- Backend Development: Build and manage scalable backend services and APIs using Python or Node.js.
- API Integration: Integrate REST APIs with frontend applications to ensure seamless communication and user experience.
- UI/UX Development: Develop enterprise-grade UI/UX solutions with strong focus on usability, responsiveness, and performance.
- GenAI Integration: Collaborate with AI/ML teams to integrate GenAI functionalities into web applications and workflows.
- Dashboard Development: Build dashboards and interfaces for AI-driven systems and analytics workflows.
- Performance Optimization: Ensure application scalability, security, and performance optimization across frontend and backend systems.
- Collaboration: Work closely with cross-functional teams for end-to-end feature development, testing, and deployment.
- Code Quality: Write clean, maintainable, and reusable code following development best practices.
- Documentation: Maintain technical documentation for APIs, workflows, and application architecture.
What You Will Bring:
- Experience: Minimum 2+ years of hands-on experience in Full Stack Development.
- Frontend Expertise: Strong experience with React.js and modern frontend development practices.
- Backend Skills: Hands-on experience in backend/API development using Python or Node.js.
- API Knowledge: Strong understanding of REST APIs and frontend-backend integration.
- Full Stack Understanding: Good understanding of full-stack application architecture and system design.
- UI/UX Awareness: Experience designing enterprise application interfaces with strong usability principles.
- Problem Solving: Strong debugging, analytical, and troubleshooting skills.
- Collaboration: Ability to work effectively with AI/ML, product, and engineering teams.
What Will Make You Stand Out:
- AI/ML Exposure: Experience building dashboards and interfaces for AI/ML or GenAI-driven systems.
- Security Knowledge: Understanding of authentication, API gateways, and application security best practices.
- Performance Engineering: Experience optimizing frontend and backend application performance.
- Ownership Mindset: Ability to independently manage features from development to deployment.
Technical Skills and Qualification:
- Key Skills: React.js, Python, Node.js, REST APIs, Full Stack Development, UI/UX, API Integration, GenAI, AI/ML Dashboards, Authentication, Security Practices, API Gateways
- Minimum Qualification: Bachelor’s degree in Engineering, Computer Science, IT, or equivalent practical experience.
