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Design, develop, and deploy AI-enabled web applications using modern front-end, backend, database, and cloud technologies.
Build responsive, reusable, and user-friendly interfaces using component-based JavaScript frameworks such as React.
Develop scalable backend services, REST APIs, and microservices using Python frameworks such as FastAPI.
Create rapid AI prototypes and internal business applications using Streamlit or equivalent lightweight app frameworks.
Integrate Generative AI capabilities into enterprise applications using Azure OpenAI and Google Cloud Gemini-based models.
Develop AI-powered solutions such as knowledge assistants, email/classification workflows, intelligent document processing, copilots, and decision-support tools.
Implement end-to-end AI workflows including data ingestion, prompt design, model interaction, response handling, validation, and application integration.
Design, develop, and optimize relational database objects using PostgreSQL for enterprise-grade application needs.
Collaborate with business stakeholders, managers, architects, and project teams to translate requirements into secure and scalable digital solutions.
Follow coding standards, version control practices, security guidelines, deployment discipline, and maintainable software engineering practices.
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