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Tier-1 employer, metro location and broad AI/full-stack requirements create moderate candidate competition.
Core AI, cloud, and full-stack skills transfer broadly, though semiconductor manufacturing domain knowledge increases fit sensitivity.
Multiple mandatory technical stacks (C#/.NET, Angular, Azure, Generative AI) increase screening rigor.
Design, develop, and deploy AI-enabled, cloud-based full-stack enterprise applications that enhance manufacturing efficiency and digital transformation.
Integrate Generative AI, machine learning, and intelligent automation into business solutions with emphasis on scalable, secure backend services and modern user interfaces.
Implement DevOps best practices including CI/CD, automated testing, and deployment; collaborate with multiple teams to ensure compliance and improve application performance and reliability.
Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field.
Strong experience in C#, .NET, Web APIs, Angular, TypeScript, JavaScript, HTML5, CSS, and Bootstrap/Material Design.
Experience with SQL and NoSQL databases (e.g., SQL Server, Cosmos DB, MongoDB) and Azure Cloud Services including DevOps and CI/CD pipelines.
Familiarity with Generative AI, AI/ML concepts, LLMs, and experience with Azure or Google AI Services, OpenAI, or modern AI frameworks; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in enterprise AI application development with strong backend (.NET) and frontend (Angular/JavaScript) skills, capable of building scalable, secure cloud-native applications.
Demonstrates ability to lead in architecture modernization, cross-team collaboration, and applying AI/ML technologies to manufacturing or industrial operations.
Comfortable in environments requiring integration of AI services with DevOps practices, mentoring teams, and driving automation and process improvements.