Agentic AI Engineer - Cloud & Pipelines

Commercial Bank Qatar

Doha

On-site

QAR 90,000 - 130,000

Full time

6 days ago
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Job summary

Commercial Bank Qatar is seeking an AI Engineer to design, develop, and deploy Agentic AI solutions and AI-enabled platforms within the Data & AI Lab. This role focuses on building scalable AI infrastructure, including integrations with MCP, cloud services, vector stores, and real-time data streaming capabilities to support banking operations and customer-facing applications.

You will collaborate with AI Product Owners, Data Scientists, and other engineers to deliver production-grade AI that is

Qualifications

  • 4-6 years in software engineering with at least 2 years focused on AI/ML applications.
  • Hands-on cloud experience (Azure or GCP) and containerization (Docker, OpenShift/K8s).
  • Experience with document processing, metadata extraction, and knowledge management systems preferred.

Responsibilities

  • Design and build Agentic AI solutions including autonomous workflows and multi-agent systems.
  • Develop AI platform components: vector stores, embeddings, and retrieval systems.
  • Implement data streaming architectures using Kafka for real-time AI applications.
  • Create RESTful APIs and integration patterns for internal banking systems.
  • Participate in Agile delivery processes, code reviews, and continuous improvement.

Skills

Python
LangChain
REST APIs
SQL
Git
Azure
GCP
Docker
Kubernetes
Kafka
Agile/Scrum

Education

Bachelor's/Master's in CS/Software Eng/Data Science

Tools

Pinecone
Weaviate
Milvus
Azure AI Search
OpenShift

Job description

Commercial Bank Qatar is seeking an AI Engineer to design, develop, and deploy Agentic AI solutions and AI-enabled platforms within the Data & AI Lab. This role focuses on building scalable AI infrastructure, including integrations with MCP, cloud services, vector stores, and real-time data streaming capabilities to support banking operations and customer-facing applications.

You will collaborate with AI Product Owners, Data Scientists, and other engineers to deliver production-grade AI that is

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