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Mid-level Bangalore AI role with 4–6 years and in-demand Azure Generative AI skills creates medium competition.
Azure-specific Generative AI and vector DB expertise moderately reduces cross-industry fit.
Explicit 4–6 years plus mandatory Azure OpenAI and vector DB expertise makes screening highly strict.
Design, develop, and deploy scalable AI applications and Agentic AI solutions using Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
Build Retrieval-Augmented Generation (RAG) applications leveraging Azure AI Search and vector databases for enterprise automation.
Integrate AI solutions with enterprise systems and optimize AI model performance, latency, and operational efficiency.
Bachelor's or Master's degree in Computer Science or related field.
4–6 years of software development experience with strong Azure cloud platform expertise.
Proficient in Python programming with hands-on experience in Azure OpenAI, Azure AI Foundry, Azure Machine Learning, and Azure AI Search.
Experience with Generative AI, Agentic AI, RAG, vector databases, REST APIs, microservices, containers, and cloud-native architectures.
Experienced in building end-to-end scalable AI and autonomous workflow solutions within the Microsoft Azure ecosystem.
Skilled in prompt engineering, orchestration, and tool-calling workflows for large language model (LLM) based applications.
Comfortable working in a cloud-native development environment with CI/CD pipelines and integration of AI services into enterprise applications.