Azure Generative AI Engineer

3 weeks ago

Bengaluru, Karnataka, India LTIMindtree Full time

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 OpenAI, and other AI/ML services within the Azure ecosystem.

Key Responsibilities:

  • Design, develop, and deploy Generative AI applications using Python , FastAPI , Azure Durable Functions , and Azure OpenAI 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 FastAPI and Flask .
  • Deep understanding of Generative AI , LLMs , and RAG (Retrieval-Augmented Generation) methodologies.
  • Proficiency in Azure cloud services , especially Azure OpenAI , 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 TensorFlow , PyTorch , and libraries like scikit-learn , spaCy , 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 OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.).
  • Knowledge of DevOps , CI/CD , and infrastructure automation for AI pipelines.

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