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 / Master’s in Computer Science or equivalent
Certifications : GCP Professional Cloud Developer / Microsoft Azure Certified Developer
Generative Ai Engineer • Delhi, India