Senior AI Engineer

Tanqeeb; Abu Dhabi; On-site; AED 400,000 - 700,000; Full time

Job summary

Tanqeeb in Abu Dhabi seeks a Senior AI Engineer to design and deliver enterprise-grade Agentic AI systems for banking, with emphasis on multimodal and vision models. You will build scalable Generative AI / RAG pipelines on Microsoft Azure, including Azure OpenAI, Azure AI Document Intelligence, and Computer Vision workflows.

Responsibilities include architecting end-to-end AI platforms, integrating Azure Cosmos DB, deploying via Docker and Azure Containers, and delivering production-grade,

Qualifications

• Hands-on AI/ML experience with enterprise-scale systems.
• Relevant banking/financial services exposure preferred.
• Strong Python and SQL skills with production deployments.

Responsibilities

• Design and implement Agentic AI architectures for banking-grade apps.
• Build scalable Generative AI / RAG pipelines on Azure.
• Deliver production-grade AI systems with security and performance.
• Develop multimodal solutions (Text + Vision, English/Arabic).
• Develop doc processing pipelines with Azure AI Document Intelligence.

Skills

Multimodal

Vision models

OCR

Python

SQL

Azure Cloud

Azure OpenAI

Azure AI Document Intelligence

Generative AI

Adaptor AI / Agentic AI

FastAPI

Docker

Azure Cosmos DB

Git

LLM frameworks

Tools

OpenCV

Lang Graph

Lang Chain

Azure Container Instances

Azure Cosmos DB

REST APIs

Job description

We have an urgent requirement for Senior AI Engineer / Agentic AI Engineer with Multimodal and Vision Models ,Azure Open AI, Azure AI Document Intelligence is required for our banking client in Abu Dhabi, UAE

• Strong Experience In Multimodal And Vision Models- MUST
• Strong experience in Image Embeddings and OCR ---Must
• Build scalable Generative AI / RAG pipelines MUST
• Strong experience on Azure AI Document Intelligence and Azure Openai GPT is THE MUST
• Strong experience in Computer Vision---Must

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 Open AI 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 Open CV
• Develop REST APIs using Fast API 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

• 3+ 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 Open AI, Azure AI Search, Azure AI Document Intelligence, Azure Vision, Azure AI Foundry
• Agentic / LLM frameworks: Lang Graph, Lang Chain
• Advanced Prompt Engineering
• Computer Vision using Open CV
• API development using Fast API
• 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)
• Currently based in UAE or willing to relocate to Abu Dhabi

Skills

• ai
• agentic
• rag