Sr. Frontend Developer (AI / React.js / Next.js)- Bangalore

Hi We are having an opening for Sr. Frontend Developer (AI / React.js / Next.js)- Bangalore - bellandur, - hybrid job Working Days: Monday Friday Job Timing: Day shift Role Summary We are seeking a highly skilled Senior Frontend Developer with expertise in React.js, Next.js, JavaScript, TypeScript, and Backbone.js to design, develop, test, deploy, and maintain modern enterprise web applications. The ideal candidate is an AI-native engineer who leverages Agentic AI and AI Coding Assistants throughout the software development lifecyclefrom requirements analysis and code generation to unit testing, integration testing, deployment automation, production monitoring, and application maintenance. This role requires strong frontend architecture expertise, engineering leadership, and the ability to accelerate software delivery through AI-assisted development practices while maintaining enterprise-grade quality, security, scalability, and maintainability. PositionSr Frontend Developer (AI-Accelerated Engineering / React.js / Next.js)Qualification Bachelor's degree in Computer Science, Software Engineering, or related field. Number of post1Office LocationBangalore - bellandur, - hybrid job 3 days from office - onsite client location Job TypeFull Time GenderMale/FemaleIndustryIT Experience: 610 years of Frontend application development experience Interview process Total 3 Technical round 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with clientSalary30 to 35 L p.a. Key Responsibilities Key Responsibilities Frontend Application Development Design, develop, and maintain enterprise-grade web applications using React.js, Next.js, JavaScript, TypeScript, and Backbone.js. Build responsive, accessible, and high-performance user interfaces. Develop reusable UI components, frontend frameworks, and design system libraries. Implement scalable frontend architectures aligned with enterprise standards. Collaborate with UX designers, product managers, architects, and backend engineers. AI-Assisted & Agentic Software Development Utilize Agentic AI and AI coding tools to accelerate software development. Leverage AI agents for code generation, refactoring, code reviews, debugging, documentation generation, and impact analysis. Use AI-powered workflows to improve developer productivity and software quality. Establish best practices for AI-assisted software engineering. Drive adoption of AI-native development methodologies across engineering teams. Unit Testing & Quality Engineering Develop comprehensive unit tests for frontend applications. Utilize AI agents to generate, validate, and optimize test cases. Ensure high code coverage and maintainability. Build automated validation pipelines for UI components and business logic. Perform peer code reviews and enforce engineering best practices. Testing Technologies Jest React Testing Library Vitest Storybook Testing Mock Service Worker (MSW) Integration & End-to-End Testing Design and implement integration testing strategies across frontend, APIs, and backend services. Leverage Agentic AI to generate integration test scenarios and regression suites. Develop automated end-to-end testing frameworks. Ensure application stability across releases. Testing Tools Cypress Playwright Selenium Postman API Testing Frameworks Deployment & Release Management Build and manage CI/CD pipelines for frontend applications. Utilize AI agents to automate deployment validation, release readiness checks, and environment verification. Support blue-green, rolling, and canary deployment strategies. Improve deployment reliability through automation and monitoring. Collaborate with DevOps and platform engineering teams. Deployment Technologies Azure DevOps GitHub Actions Jenkins Docker Kubernetes Application Maintenance & Production Support Monitor production applications and proactively identify issues. Leverage Agentic AI for root cause analysis, incident triage, log analysis, and remediation recommendations. Resolve performance bottlenecks and frontend defects. Implement observability and monitoring capabilities. Ensure high availability and reliability of production systems. Support application upgrades, framework migrations, and technical debt reduction initiatives. Performance Optimization Optimize page load times, rendering performance, and application responsiveness. Improve Core Web Vitals and user experience metrics. Implement lazy loading, code splitting, caching, and performance monitoring strategies. Utilize AI-powered tools for performance diagnostics and optimization recommendations. Technical Leadership Mentor junior and mid-level developers. Establish frontend engineering standards and best practices. Lead technical design discussions and architecture reviews. Promote adoption of modern frontend frameworks, testing strategies, and AI-assisted engineering practices. Strong expertise in: React.js Next.js JavaScript (ES6+) TypeScript Backbone.js HTML5 CSS3 / SCSS Experience building enterprise-scale applications. Strong understanding of frontend architecture patterns and design principles. Experience working in Agile product development environments. Key Skills & Requirements Preferred Qualifications AI-Native Development Experience using AI coding assistants and Agentic AI development platforms. Hands-on experience applying AI tools across development, testing, deployment, and maintenance activities. Familiarity with prompt engineering and AI-assisted software delivery workflows. Frontend Architecture Micro Frontends Design Systems Progressive Web Applications (PWA) Server-Side Rendering (SSR) Static Site Generation (SSG) DevOps & Cloud CI/CD Automation Cloud Platforms (Azure, AWS, GCP) Containerized Deployments Monitoring and Observability Platforms Technical Skills Frontend Technologies React.js Next.js Backbone.js JavaScript TypeScript HTML5 CSS3 / SCSS Testing & Quality Jest React Testing Library Cypress Playwright Selenium Test Automation AI-Assisted Engineering AI Coding Assistants Agentic AI Development Tools Automated Test Generation AI-based Code Reviews AI-driven Debugging AI-powered Documentation Generation DevOps & Deployment Git GitHub Actions Azure DevOps Jenkins Docker Kubernetes CI/CD Pipelines Monitoring & Support Application Monitoring Log Analytics Performance Monitoring Observability Frameworks Incident Management JoiningImmediate / 15 Days Success Profile The successful candidate will: Deliver high-quality frontend applications faster through Agentic AI-enabled development. Automate significant portions of coding, testing, deployment, and maintenance activities using AI agents. Improve engineering productivity while maintaining high quality standards. Lead adoption of AI-native software engineering practices. Build scalable, secure, maintainable, and performant user experiences. Mentor engineering teams and drive technical excellence across the software development lifecycle.