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
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
Gratuity
Annual Air Ticket
20 Paid Leaves Annually
Required Skills:
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)
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