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Metro mid-level role with niche Azure AI skills yields medium competition.
Strong Azure vendor and Generative AI specialization increases domain-specific hiring sensitivity.
Explicit 4–6 years plus mandatory Azure OpenAI, Azure ML, Python, and vector DBs implies high strictness.
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Design, develop, and deploy Generative and Agentic AI applications using Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
Build scalable AI solutions including Retrieval-Augmented Generation (RAG) applications leveraging Azure AI Search and vector databases.
Integrate and optimize cloud-native AI APIs, microservices, and enterprise workflow automation on Microsoft Azure platform.
Bachelor's or Master's degree in Computer Science or related field.
4–6 years of software development experience with strong expertise in Microsoft Azure cloud services.
Hands-on experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Azure AI Search, and Python programming.
Experience with Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), Vector Databases, REST APIs, Microservices, Containers, and CI/CD pipelines.
Experienced in building scalable AI solutions specifically on the Azure ecosystem with emphasis on Generative and Agentic AI.
Skilled in developing and integrating enterprise-grade AI automation workflows and cloud-native applications using microservices and APIs.
Capable of managing AI model performance and operational efficiency in collaboration with cross-functional teams for secure, scalable deployment.