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Engineers must work in an agile, DevOps-driven environment, contributing to the development, deployment, and scaling of these products while ensuring high software quality, maintainability, security, and continuous improvement.\nKey Responsibilities:\nTake full ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure, and AI services.\nDesign, develop, and maintain responsive, accessible, and performant web applications.\nImplement modern frontend architectures, ensuring reusability, scalability, and security.\nDevelop backend services and APIs, ensuring reliability, security, and observability.\nEnsure adequate automated test coverage and proactively fix bugs and defects.\nOptimize CI/CD deployment strategies, ensuring seamless and automated releases.\nAutomate infrastructure provisioning, monitoring, and cloud deployments using DevOps best practices.\nEnsure application security, including authentication, authorization, API security, and 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Python (FastAPI, Flask, Django).\nStrong experience designing and developing RESTful APIs.\nFamiliarity with GraphQL and WebSockets.\nCaching (e.g. Redis), API rate limiting, and scalability patterns (horizontal scaling, load balancing).\nExperience integrating with enterprise systems and third-party platforms.\nAI Application Development:\nHands-on experience building LLM-powered features in production, including retrieval-augmented generation (RAG), tool or function calling, and agent workflows.\nExperience implementing guardrails and evaluating LLM output quality.\nProficient in using AI coding assistants with sound engineering discipline.\nDevOps, Cloud, and Infrastructure:\nExperience with GitLab CI/CD pipelines and modern DevOps practices.\nHands-on experience with AWS cloud services and architectures.\nExperience with containerisation technologies such as Docker.\nFamiliarity with application monitoring and observability tools.\nSecurity Best Practices:\nAwareness of 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