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
