Job Title

Location: Pan India (LTIMindtree Office) Experience Level: 5 to 12 years Employment Type: Full-Time Primary Skill: Data Science +Machine Learning +Python +AI + Azure Job Summary: We are seeking a skilled and passionate Azure Generative AI Engineer with strong expertise in Python development, Azure services, and advanced AI/ML techniques. The ideal candidate will have hands-on experience designing and deploying end-to-end Generative AI solutions using Retrieval-Augmented Generation (RAG), Azure Open AI, and other AI/ML services within the Azure ecosystem. Key Responsibilities: Design, develop, and deploy Generative AI applications using Python , Fast API , Azure Durable Functions , and Azure Open AI Services . Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications. Work on end-to-end Generative AI projects , including data ingestion, model integration, evaluation, and refinement. Integrate AI/ML search and data services such as Azure Cognitive Search , Cosmos DB , and other Azure-native tools. Automate key components of the RAG workflow and ensure production-grade performance and scalability. Evaluate, validate, and fine-tune the outputs of Generative AI models for accuracy and relevance. Implement monitoring , observability , and guardrails to ensure responsible and secure use of AI technologies. Collaborate with cross-functional teams to deliver innovative AI solutions. Required Skills & Qualifications: Strong programming experience in Python , including frameworks such as Fast API and Flask . Deep understanding of Generative AI , LLMs , and RAG (Retrieval-Augmented Generation) methodologies. Proficiency in Azure cloud services , especially Azure Open AI , Functions , AI Search , and Cosmos DB . Hands-on experience with machine learning , deep learning , and natural language processing (NLP) . Familiarity with ML/DL frameworks such as Tensor Flow , Py Torch , and libraries like scikit-learn , spa Cy , etc. Solid knowledge of machine learning algorithms including GPTs , CNNs , RNNs , k-NN , Naive Bayes , SVM , and Decision Forests . Experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred Qualifications: Certifications in Azure AI Engineer Associate or related. Experience working with managed LLMs beyond Azure Open AI (e.g., Open AI API, Anthropic, Cohere, etc.). Knowledge of Dev Ops , CI/CD , and infrastructure automation for AI pipelines.