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Big Four employer, mid-level fullstack Azure role, popular title and metro location drive high applicant density.
Azure fullstack and GenAI specialization are moderately transferable, requiring platform-specific experience.
Explicit 3-7 years requirement and mandatory Azure/.NET/AI tech stack enforce strict screening.
Develop and deploy AI-powered applications using Microsoft Azure services, including Azure AI, Azure Kubernetes Service (AKS), and Azure Cognitive Services.
Migrate legacy enterprise applications into microservice architectures with associated data migration, ensuring smooth coordination across multiple teams.
Implement AI frameworks and solutions integrating with Microsoft platforms like Teams and Graph API, focusing on NLP and large language model applications.
3-7 years of experience working with Azure AI Services, Azure App Development, and AKS deployment.
Proficiency in TypeScript and C# with Microsoft .NET framework experience.
Bachelor of Technology (B.E./B.Tech) or MBA degree in regular full-time mode without backlog-related extensions.
Mandatory skills: Microsoft Azure and full stack engineering experience.
Experienced in AI/ML development and deployment within Azure cloud environments, including Azure DevOps and Blob Storage.
Skilled in NLP, large language models, vectorization, prompt engineering, and Azure Text Analytics.
Capable of coordinating multi-team projects with strong analytical and problem-solving skills, prioritizing task management effectively.