Generative AI Engineer- Banking & Financial Services
Skills
About This Role
Overview
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
• 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.)
• Orkes (Agentic AI Workflow Automation Tool)
- Streamlit or Flask for rapid PoC development
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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