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Mid-level generalist fullstack title, metro location, and competitive candidate pool increase competition.
Highly specialized GenAI, LangChain, Azure, and agentic frameworks reduce cross-industry transferability.
Extensive mandatory GenAI, LangChain, Azure, Python, and DevOps stack enforces strict technical filters.
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Develop and deploy Generative AI solutions including Retrieval-Augmented Generation (RAG), Graph RAG, and Agentic AI systems for enterprise knowledge retrieval and intelligent automation.
Build and maintain secure AI-powered applications and workflows using Python, FastAPI, LangChain, LangGraph, integrating with cloud services (Azure, AWS) and enterprise systems.
Monitor, fine-tune, and optimize AI models and solutions ensuring reliability, scalability, and alignment with business requirements.
Proven experience in Generative AI development including Advanced GenAI concepts, Agentic Frameworks, LangChain, LangGraph, Azure AI Foundry, and cloud AI service integration.
Strong programming skills in Python with expertise in FastAPI, asynchronous APIs, authentication and scalable API design.
Experience with cloud platforms such as Azure (DevOps, Pipelines, CLI) and Amazon Bedrock or similar AI services.
Work Experience Required: Not explicitly mentioned in the JD. Location: Must be located in Noida, UP, India.
Experienced in enterprise-grade AI solution delivery involving complex AI workflows, retrieval systems, and vector databases integration.
Technical operator familiar with AI model fine-tuning, prompt engineering, and tool-calling mechanisms in scalable cloud-based environments.
Comfortable working collaboratively across teams to deliver fully integrated, maintainable, and high-quality AI products in a dynamic enterprise setting.