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mobile application architectures.\nProven experience in code reviews, mentoring developers, and enforcing coding best practices.\nHands-on experience in writing unit test cases using Jest and maintaining high test coverage.\nExperience with CI/CD pipelines, ESLint, SonarQube, and code quality tools.\nStrong debugging, troubleshooting, and performance optimisation skills.\nExperience with version control systems such as Git.\n\nAI-Powered Applications: \nExperience designing and building AI-powered application features and intelligent workflows.\nHands-on experience integrating Large Language Models (LLMs) and AI APIs (e. g., Anthropic Claude, OpenAI) into production applications.\nFamiliarity with agentic systems, prompt engineering, and AI-assisted development tooling.\nUnderstanding of techniques such as retrieval-augmented generation (RAG), embeddings, and vector databases.\nAbility to apply AI/ML capabilities responsibly with attention to performance, cost, security, and data 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