





Popular fullstack title, mid-level expectation, and broad tech requirements raise competition.
Fullstack plus cloud and AI skills are moderately transferable across industries.
Extensive mandatory tech stack across frontend, backend, cloud, DevOps and AI increases filter strictness.
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Develop and maintain AI-driven full stack applications using Python with frameworks like Django, Flask, and FastAPI.
Manage backend services including AWS components such as SQS and Lambda, and Kafka integration.
Implement front-end features with React JS or Angular JS and ensure efficient app performance tuning and debugging.
Expertise in Python programming and web frameworks (Django, Flask, FastAPI).
Experience with AWS cloud services (SQS, Lambda) and Kafka.
Proven full stack development skills including front-end (React JS or Angular JS) and backend (MongoDB).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI-driven development utilizing tools like GitHub Co-pilot and prompt engineering.
Strong knowledge of DevOps practices including CI/CD pipelines within Agile/Scrum environments.
Capability to troubleshoot, optimize performance, and integrate complex backend and frontend systems effectively.