Back
Remote role, metro location, and generalist backend title increase applicant competition.
Highly specialized GenAI and Azure serverless requirements make cross-industry transferability low.
Multiple mandatory Azure, GenAI, and infrastructure skills create moderate-to-strict technical filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement RAG-based architectures and backend APIs for Azure Generative AI applications.
Architect and deploy scalable, secure Azure serverless backend solutions ensuring performance and high availability.
Build and maintain CI/CD pipelines and infrastructure as code to support production-grade AI systems.
Hands-on experience building production RAG solutions using Azure OpenAI and Azure AI Search.
Proficiency in backend development with Python, Java, or Node.js including REST API and microservices design.
Strong expertise in Azure serverless platforms: Azure Functions, Container Apps, App Services, and Azure storage/key vault.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and deploying scalable, secure cloud-native AI backend systems on Azure serverless architectures.
Deep technical knowledge of LLMs, embeddings, vector search, and complex GenAI workflows.
Comfortable collaborating across frontend, data, and AI teams in a consulting or client-facing environment focused on production deployments.