About the Role We are looking for an innovative and highly skilled AI Engineer to join our growing AI & Data Engineering team. In this role you will design develop and deploy cutting-edge Artificial Intelligence and Machine Learning solutions that solve real-world business problems and transform customer and employee experiences. You will work on enterprise-scale AI initiatives involving Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Machine Learning MLOps and Cloud AI Platforms. This is an exciting opportunity for professionals passionate about building production-ready AI systems and shaping the future of intelligent applications. Key Responsibilities Generative AI & LLM Development Design build and deploy enterprise-grade AI and ML solutions using modern AI frameworks. Develop applications powered by Large Language Models (LLMs) including OpenAI GPT Azure OpenAI Anthropic Claude Llama and similar foundation models. Build scalable Retrieval-Augmented Generation (RAG) architectures using vector databases and embedding models. Fine-tune optimize and evaluate LLMs for enterprise use cases. Machine Learning & Data Engineering Build and deploy machine learning models for predictive analytics NLP recommendation systems and intelligent automation. Perform feature engineering data preprocessing vectorization and model training on structured and unstructured datasets. Develop scalable data pipelines for model training inference and continuous learning. Cloud AI & MLOps Deploy AI workloads on Azure AWS or Google Cloud Platform. Build production-ready AI microservices using Python REST APIs Docker and Kubernetes. Implement CI/CD pipelines and MLOps best practices using tools such as MLflow Kubeflow Azure ML SageMaker or Databricks. Monitor model performance drift logging observability and automate retraining workflows. Enterprise AI Integration Integrate AI services with enterprise applications and cloud ecosystems. Collaborate with cross-functional teams including Product Data Engineering Business and Solution Architecture. Conduct Proof of Concepts (POCs) technical demonstrations and solution design workshops. Ensure AI solutions adhere to enterprise security governance compliance and Responsible AI principles. Required Skills & Qualifications Must-Have Skills 5–8 years of hands-on experience in AI/ML Engineering or Data Science. Strong programming expertise in Python. Experience with NumPy Pandas PyTorch TensorFlow Hugging Face Transformers Hands-on experience with Large Language Models (LLMs) OpenAI Azure OpenAI Anthropic Claude Meta Llama Strong understanding of Machine Learning Deep Learning Natural Language Processing (NLP) Embeddings & Vector Search Transformer Architectures Experience building RAG (Retrieval-Augmented Generation) solutions. Cloud & DevOps Hands-on experience with one or more cloud platforms Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) Knowledge of Azure AI Services Azure Machine Learning AWS SageMaker Serverless Computing REST APIs Docker Kubernetes Vector Databases Experience working with one or more Pinecone ChromaDB FAISS Weaviate Azure AI Search MLOps Experience Experience with MLflow Kubeflow Azure Machine Learning Amazon SageMaker Databricks Understanding of CI/CD for Machine Learning Model Registry Model Monitoring Drift Detection Experiment Tracking Production Deployment Preferred Qualifications Experience building AI Agents or Agentic AI workflows. Knowledge of LangChain LangGraph LlamaIndex or Semantic Kernel. Experience with prompt engineering and AI evaluation frameworks. Familiarity with graph databases such as Neo4j. Exposure to multi-agent AI systems. Experience in enterprise AI solution architecture. Azure AI Engineer AWS ML Specialty or GCP Professional ML certifications are a plus. What We're Looking For We're seeking someone who is Passionate about Artificial Intelligence and emerging technologies. A problem solver with strong analytical thinking. Experienced in building scalable production-grade AI applications. Comfortable collaborating with cross-functional teams and business stakeholders. Curious innovative and eager to learn new AI technologies. Pay ₹100000.00 - ₹120000.00 per month Benefits Flexible schedule Experience proficiency in Python NumPy Pandas PyTorch TensorFlow 5 years (Required) Work Location Remote