Job Summary: We are seeking a highly skilled and detail-oriented Senior QA Engineer with a strong background in QA processes and hands-on experience in automation testing. The ideal candidate will have experience designing and building test automation frameworks using Python , Selenium , and Playwright , and should be well-versed in integrating testing within CI/CD pipelines . Knowledge of LLM models and modern AI-powered tools such as GitHub Copilot and Curse.AI is a strong plus. Key Responsibilities: Develop and maintain robust, scalable test automation frameworks from scratch. Create, maintain, and execute automated test cases using Python , Selenium , and Playwright . Collaborate with developers, product managers, and DevOps to ensure quality is integrated into the CI/CD lifecycle. Define and implement QA best practices, processes, and metrics across projects. Analyze test results, identify bugs, and drive continuous improvement in product quality. Participate in code reviews, test planning, and estimation activities. Drive automation strategy and advocate for testability in design and implementation. Required Qualifications: 5–7 years of experience in software testing with a strong understanding of QA methodologies and testing life cycles. Solid hands-on experience in automation testing , including framework creation and enhancement. Proficient in Python programming and automation toolsets including Selenium and Playwright . Experience working with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Strong analytical, debugging, and problem-solving skills. Excellent communication and documentation abilities. Good to Have: Exposure to Large Language Models (LLMs) and understanding of AI/ML testing use cases. Familiarity with AI-assisted development tools such as GitHub Copilot and Curse.AI . Experience with performance testing tools and/or security testing tools is a plus. Knowledge of containerization (Docker) and cloud-based environments (AWS, Azure, or GCP). Why Join Us? Opportunity to work on cutting-edge projects with automation and AI integration. Collaborative and fast-paced environment with a strong emphasis on innovation and quality. Continuous learning opportunities and career growth support.
Job Summary We are seeking a talented and experienced Senior Fullstack Engineer to join our Conversational AI (CXD) team. In this role, you will be responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while maintaining solid backend capabilities. You will work closely with product managers, designers, and other engineers to build next-generation AI experiences including chat interfaces, LLM integrations, and intelligent user interactions. The ideal candidate will have deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and a passion for building high-quality, maintainable solutions that effectively integrate cutting-edge AI capabilities. Responsibilities AI Application Development : Build AI-powered chat applications, conversational interfaces, and intelligent user experiences Multi-Agent Systems : Design and implement complex AI workflows using, for example, LangGraph and multi-agentic architectures LLM Observability : Implement monitoring, logging, and performance tracking for AI/LLM integrations Frontend Development : Design, develop, and maintain responsive web applications using React, Next.js, and TypeScript with deep JavaScript expertise System Architecture : Make strategic technical decisions about AI application structure, data flow patterns, and scalability solutions Performance Engineering : Optimize Core Web Vitals, bundle analysis, rendering performance, and AI response times for complex applications API Integration : Develop and consume RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management Technical Leadership : Conduct code reviews, mentor junior developers, and establish frontend development standards Business Translation : Work with stakeholders to translate business requirements into technical solutions and feasibility assessments Test Automation : Develop comprehensive automated unit, integration, and end-to-end tests Production Support : Debug complex production issues, memory leaks, race conditions, and cross-browser inconsistencies Security Implementation : Implement authentication flows, XSS prevention, data privacy and AI safety measures Backend Development : Build and maintain Node.js/Express.js APIs, database integrations, and AI service orchestration Requirements Experience & Education Bachelor's degree in Computer Science, Engineering, or related field 5-8 years of experience in fullstack development with frontend focus Proven experience building chat applications and conversational interfaces Experience integrating with AI/ML APIs and LLM frameworks Strong analytical, problem-solving, and technical communication skills Excellent collaboration abilities and experience working in cross-functional teams Core Technical Expertise Frontend Technologies Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs) React.js with hooks, context, and modern patterns Next.js including SSR, SSG, and App Router TypeScript with deep understanding of type system Component libraries (Ant Design or Material-UI) State management solutions (Redux, React Query) Backend & Data Node.js & Express.js for API development Database technologies (PostgreSQL, MongoDB, or MySQL) RESTful APIs and GraphQL services AI/LLM Integration OpenAI APIs, LangChain, or similar frameworks Streaming AI responses and error handling Performance optimization for AI applications Multi-agent system implementation Development Practices & Tools Modern testing frameworks (Jest, React Testing Library, Cypress) Performance monitoring and debugging tools Git version control and collaborative workflows CI/CD pipelines and deployment automation System architecture patterns and scalable application design Security best practices including authentication flows and XSS prevention Performance & Optimization Core Web Vitals optimization Bundle analysis and rendering performance Memory management and browser-specific optimizations Cross-browser compatibility and debugging