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Mid-level fullstack role, PwC brand, metro location and common skillset increases candidate competition.
Microsoft Azure/.NET and GenAI focus moderately limits transferability across non-Microsoft technology stacks.
Explicit years plus mandatory Azure/.NET/fullstack and AI/AKS requirements create high shortlisting strictness.
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Develop and deploy Microsoft full stack applications leveraging Azure AI Services and Azure Kubernetes Service (AKS).
Collaborate to migrate legacy enterprise applications to microservice architectures including data migration.
Implement AI integration with Microsoft Teams and Microsoft Graph API, supporting client digital transformation.
3-7 years experience with Azure AI Services, Azure Cognitive Services, Azure Kubernetes Service and Microsoft full stack development.
Proficiency in TypeScript and C# with Microsoft .NET framework experience.
Bachelor's degree in Engineering (B.E./B.Tech) or MBA with regular full-time education without course extensions due to backlogs.
Work Experience Required: 3-7 years in relevant Azure AI and full stack roles.
Experienced in Azure AI frameworks including Lang-Chain, Semantic Kernel, and familiar with Azure Machine Learning and Azure Bot Services.
Strong skills in NLP areas like Large Language Models, Vectorization, and Prompt engineering with Azure Text Analytics experience.
Proficient in cloud DevOps practices using Azure DevOps for CI/CD and data engineering with Azure Data Factory and Azure SQL Database.