## Job highlights
- The ideal candidate should have hands-on experience in Generative AI,Retrieval-Augmented Generation (RAG),Agentic AI,and Microsofts AI ecosystem,with a proven track record of implementing real-world AI solutions. Role Overview We are seeking highly skilled Generative AI Engineers with robust expertise in designing and delivering enterprise-grade AI solutions. The ideal candidate should have hands-on experience in Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, and Microsofts AI ecosystem, with a proven track record of implementing real-world AI solutions. Candidates should come from a Full Stack Development, Data Engineering, Data Science, or AI Engineering background and possess strong coding and problem-solving skills.

Key Responsibilities
Design, develop, and deploy enterprise-scale Generative AI solutions. Build and optimize RAG-based applications using structured and unstructured enterprise data.



Develop AI agents and multi-agent workflows leveraging Agentic AI frameworks. Build solutions using Microsoft AI Foundry, Azure AI Services, and Microsoft Copilot Studio. Implement AI orchestration workflows using LangGraph and related frameworks. Integrate LLMs, vector databases, embeddings, and prompt engineering techniques into AI applications. Collaborate with business and technology stakeholders to translate requirements into scalable AI solutions. Ensure performance, scalability, security, and reliability of AI applications. Contribute to architecture, design reviews, development, testing, and deployment activities. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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