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Remote role plus general backend title increases competition, but niche GenAI/Azure senior skills narrow candidate pool.
Highly domain-specific GenAI and Azure backend skills limit cross-industry transferability.
Multiple mandatory Azure GenAI, serverless, IaC, and CI/CD requirements enforce strict technical filters.
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Design and implement scalable Retrieval-Augmented Generation (RAG) architectures using Azure OpenAI and Azure AI Search to support Generative AI applications.
Develop and deploy backend APIs and serverless Azure solutions including Azure Functions, Logic Apps, and Container Apps with a focus on performance, scalability, and security.
Build and maintain CI/CD pipelines, infrastructure as code (Terraform/Bicep), and collaborate with cross-functional teams to deliver production-grade AI systems adhering to security and compliance standards.
Hands-on experience building RAG solutions in production using Azure OpenAI and Azure AI Search.
Proficiency in backend development with Python, Java, or Node.js including REST API and microservices design.
Strong experience with Azure serverless services such as Azure Functions, Container Apps, App Services, and knowledge of Azure networking and identity management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in architecting and deploying cloud-native, serverless backend systems on Azure with a focus on Generative AI workloads.
Demonstrated ability to design scalable, secure, and high-availability AI infrastructure integrating data pipelines, authentication, and DevOps practices.
Background in consulting or working with regulated environments and capable of collaborating across frontend, data, and AI teams for end-to-end delivery.