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Calling all AI Engineer Experts! Experience: 610 Years Notice Period: Immediate to 15 Days Looking for professionals with strong experience in AI | RAG | Agentic | Azure | LangGraph/LangChain | Vector Database | Role Responsibilities Design, develop, and deploy scalable AI/ML models and solutions leveraging RAG, Agentic systems, and modern LLM frameworks (e.g., LangChain, LangGraph).Integrate AI models with backend services and cloud infrastructure (preferably on Microsoft Azure).Design and implement vector database solutions (e.g., Pinecone, Weaviate, Milvus, Azure Cognitive Search) for efficient similarity search and retrieval.Collaborate with product and engineering teams to define AI use cases and translate business requirements into technical implementations.Optimize prompt engineering strategies, fine-tuning, and evaluation pipelines for LLM-based applications.Build and maintain agentic AI systems that perform autonomous decision-making and task execution.Ensure model performance, reliability, and scalability through rigorous testing, monitoring, and CI/CD integration.Stay current with the latest advancements in AI, NLP, and MLOps, and contribute to internal knowledge sharing. Skills: vector,rag,database,langchain,azure Calling all AI Engineer Experts! Experience: 610 Years Notice Period: Immediate to 15 Days Looking for professionals with strong experience in AI | RAG | Agentic | Azure | LangGraph/LangChain | Vector Database | Role Responsibilities Design, develop, and deploy scalable AI/ML models and solutions leveraging RAG, Agentic systems, and modern LLM frameworks (e.g., LangChain, LangGraph).Integrate AI models with backend services and cloud infrastructure (preferably on Microsoft Azure).Design and implement vector database solutions (e.g., Pinecone, Weaviate, Milvus, Azure Cognitive Search) for efficient similarity search and retrieval.Collaborate with product and engineering teams to define AI use cases and translate business requirements into technical implementations.Optimize prompt engineering strategies, fine-tuning, and evaluation pipelines for LLM-based applications.Build and maintain agentic AI systems that perform autonomous decision-making and task execution.Ensure model performance, reliability, and scalability through rigorous testing, monitoring, and CI/CD integration.Stay current with the latest advancements in AI, NLP, and MLOps, and contribute to internal knowledge sharing. Skills: vector,rag,database,langchain,azure
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