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Mid-level generalist fullstack title, broad tech requirements, and likely metro hiring drive high applicant competition.
Fullstack plus AI specialization increases domain specificity but remains transferable across industries.
Explicit 3–5 year requirement and extensive mandatory tech stack enforce strict shortlisting.
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Design, develop, and maintain scalable enterprise web applications combining frontend, backend, AI, and cloud technologies.
Implement AI-powered features including conversational assistants, analytics, intelligent recommendations, and workflow automation using LLMs, RAG, prompt engineering, and voice AI.
Create real-time dashboards and integrate internal and third-party services with appropriate security, observability, and modular architecture practices.
3–5 years of professional experience in full stack, AI-enabled applications, or related software engineering roles.
Strong programming skills in JavaScript/TypeScript and practical experience with Python; C# is advantageous.
Experience with modern frontend frameworks (React, Next.js, Vue.js), backend frameworks (Node.js, NestJS, Express.js, Flask, ASP.NET).
Working knowledge of LLM-based application development, prompt engineering, and at least one relational or NoSQL database (PostgreSQL, MongoDB, MySQL, Firebase).
Experienced in full stack development integrating AI models and workflows operationally in production environments.
Comfortable designing modular, scalable service architectures including micro-frontends and reusable components.
Capable of working across cross-functional teams translating complex business requirements into maintainable software solutions with strong emphasis on security, performance, and deployment automation.