Azure Generative AI Engineer

Azure Generative AI Engineer

Experience: 5 - 12 years

Location: Pan India

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.

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.

Soft Skills:

• Excellent communication
• Team collaboration
• Documentation and knowledge sharing

Education : Bachelor's/Masters in Computer Science or equivalent

Certifications : GCP Professional Cloud Developer / Microsoft Azure Certified Developer