AI Engineer
Summary
Build and deploy AI/ML and generative AI solutions using Python, TensorFlow, and Azure AI, including agentic AI apps, RAG chatbots, and document processing systems.
Job Summary:
Experienced AI Engineer with expertise in designing, developing, and deploying AI, Machine Learning, and Generative AI solutions. Strong background in building Agentic AI applications, RAG-based chatbots, intelligent document processing systems, forecasting models, and enterprise AI solutions using Azure AI and Microsoft technologies.
Key Responsibilities:
Develop and deploy AI/ML and Generative AI solutions using Python, TensorFlow, PyTorch and Scikit-learn
Build Agentic AI and RAG applications using LangChain, LangGraph, Microsoft Foundry and Azure Open AI
Design intelligent document processing, OCR and computer vision solutions
Develop scalable ML pipelines and deploy models using Azure ML, ML flow, Docker and Azure services
Create REST APIs and integrate AI solutions with enterprise applications
Implement workflow automation using n8n and cloud-based orchestration tools
Collaborate with cross-functional teams to deliver business-focused AI solutions
Key Skills: Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, Microsoft Foundry, Azure AI, Azure ML, OpenAI GPT Models, RAG, Vector Databases, Neo4j, FastAPI, ReactJS, SQL, Microsoft Fabric, Docker, MLflow, Azure DevOps, Git, OCR, Computer Vision, n8n.
Preferred Experience:
• Enterprise AI and Generative AI solutions
• AI-powered chatbots and virtual assistants
• Forecasting and predictive analytics
• Document intelligence and KYC automation
• Cloud-native AI deployments on Azure