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Remote role and hot GenAI domain increase applicants but niche Azure RAG skills limit competition.
Strong Azure GenAI and serverless specialization reduces cross-industry transferability.
Many mandatory Azure GenAI, serverless, backend, and IaC skills create strict technical filtering.
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Design and develop scalable RAG-based Generative AI architectures using Azure OpenAI and Azure AI Search.
Architect and deploy Azure-native serverless backend services and APIs supporting GenAI applications with high availability and security.
Implement CI/CD pipelines and infrastructure as code practices to deliver production-grade AI systems aligning with compliance and governance.
Hands-on experience building RAG solutions in production with Azure OpenAI and Azure AI Search.
Strong backend development skills in Python, Java, or Node.js including REST API and microservices design.
Proficient with Azure serverless platforms such as Azure Functions, Container Apps, and Azure App Services plus knowledge of Azure networking and identity management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing end-to-end cloud-native AI architectures with strong emphasis on scalability, security, and performance using Azure technologies.
Strong system architect with ability to collaborate across frontend, data, and AI teams to deliver integrated Generative AI solutions.
Familiar with DevOps best practices, infrastructure as code (Terraform/Bicep), and deploying AI in regulated or compliance-sensitive environments.