Gen AI Engineer

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