We are hiring a highly skilled Senior AI Engineer / Agentic AI Engineer with strong experience delivering enterprise-scale AI solutions in Banking or Financial Services. The ideal candidate will have hands-on expertise in building Agentic AI systems, Generative AI pipelines, and production-grade Conversational AI / RAG platforms on Microsoft Azure. You will work on real-world banking use cases such as Conversational AI, Document Intelligence, Agentic Workflow Automation, and Multimodal AI systems serving large user bases. Key Responsibilities • Design and implement Agentic AI architectures for banking-grade enterprise applications • Build scalable Generative AI / RAG pipelines using Azure OpenAI and Azure AI Search • Deliver production-grade AI systems with high availability, security, and performance • Implement multimodal and multilingual AI solutions (Text + Vision, including English / Arabic) • Develop document processing pipelines using Azure AI Document Intelligence • Build Computer Vision workflows using OpenCV • Develop REST APIs using FastAPI and deploy using Docker and Azure Containers • Design embedding, vector search, and hybrid retrieval strategies • Integrate Azure Cosmos DB / Document DB • Implement CI/CD pipelines and Git-based workflows • Collaborate closely with business stakeholders and engineering teams to deliver end-to-end AI solutions Requirements Mandatory Skills • 5+ years of hands-on experience in AI / ML / Generative AI / Agentic AI • Prior experience implementing AI solutions in Banking or Financial Services, delivering enterprise-scale, production-grade systems • Strong expertise in Python and SQL • Microsoft Azure Cloud experience including: Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Vision, Azure AI Foundry • Agentic / LLM frameworks: LangGraph, LangChain • Advanced Prompt Engineering • Computer Vision using OpenCV • API development using FastAPI • Git, Docker, Azure Container Services • Azure Cosmos DB / Document DB • CI/CD pipelines Good to Have • Open-source AI technologies (YOLO models, Deep Learning, NLP) • Agent orchestration frameworks: Semantic Kernel, Microsoft Agentic Framework • LLM evaluation metrics and frameworks (RAG evaluation, custom benchmarks, etc.) • MCP (Model Context Protocol) • Orkes (Agentic AI Workflow Automation Tool) • Streamlit or Flask for rapid PoC development • Microsoft Certification: Azure AI Engineer (AI-102) Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design → build → deploy → scale) Benefits Visa Sposnorship Health Insurance Gratuity Annual Air Ticket 20 Paid Leaves Annually