Technology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag),Technology->AI-Generative AI->Prompt Engineering

Design and develop AI applications using Generative AI and LLM technologies. Build and implement Agentic AI systems capable of autonomous reasoning, planning, tool usage, and workflow orchestration. Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. Create and maintain AI evaluation frameworks to measure model quality, accuracy, hallucination rates, relevance, and business KPIs. Develop prompt engineering strategies and optimize LLM performance. Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms. Build scalable backend services and AI workflows using Python. Collaborate with business stakeholders, data scientists, and solution architects to translate requirements into AI-driven solutions. Monitor, troubleshoot, and optimize AI applications in production environments. Stay updated with emerging AI technologies, frameworks, and industry best practices.

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📌 Technology analyst (Bangalore East)
🏢 Infosys
📍 Bangalore East