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The ideal candidate should have strong technical fundamentals, experience working with modern development practices, and the ability to review and improve AI-generated code efficiently. You will work closely with the team to build scalable systems, contribute to architecture decisions, and ensure high code quality across projects.\n\nResponsibilities: \nReview, validate, and optimise AI-generated code.\nDevelop and maintain scalable backend systems and APIs.\nTake ownership of your code or module and manage end-to-end delivery.\nConduct production bug analysis and fix.\nFollow backend development best practices for clean, maintainable, and efficient code.\nContribute to system architecture planning and technical design discussions.\nUnderstand and work with AI-assisted / vibe coding workflows.\nDebug, test, and improve application performance and reliability.\nCollaborate with cross-functional teams to deliver high-quality solutions\nWrite reusable, scalable, and well-documented code.\n\nRequirements: \n4+ years of experience in software development.\nStrong proficiency in either Python or Node.js .\nExperience with Python frameworks like Django or FastAPI, or Node.js frameworks such as Express.js or NestJS.\nGood understanding of software architecture and system design principles.\nUnderstanding of coding standards, best practices, and code review processes.\nFamiliarity with AI-assisted development tools and vibe coding concepts.\nStrong problem-solving and analytical skills.\nKnowledge of databases, APIs, and cloud-based applications.\nAbility to work independently in a fast-paced startup environment.\n\nGood to Have: \nExperience working with AI/ML-based products.\nFamiliarity with Docker, CI/CD pipelines, and cloud platforms.\nFrontend development understanding.\nExperience in scalable SaaS product development.\nSkills\nDjango, Express.js, ExpressJS, FastAPI, NestJS, Node.js, NodeJS, Python, 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