AI Engineer
Summary
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic 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