Urgent requirement for Gen / Agentic AI Engineer is required for our banking clients in Abu Dhabi ,UAE
Design, build, and deploy enterprise GenAI and agentic AI solutions with strong governance, security, observability, and evaluation frameworks.--Must
Develop RAG-based applications, AI agents, and multi-step workflows by integrating LLMs with enterprise APIs, data sources, identity systems, and approval processes.--Must
Implement AI security and quality controls, including prompt evaluation, model testing, guardrails, prompt-injection protection, and data leakage prevention.--Must
Containerize, deploy, monitor, and optimize AI services on Azure/AWS cloud platforms using modern DevOps and Kubernetes practices.--Must Role purpose
Design, build and operationalise secure enterprise GenAI and agentic solutions with robust evaluation, observability and governance controls.
Key responsibilities
Build retrieval-augmented generation, tool-using agents and multi-step AI workflows.
Integrate models with enterprise APIs, data sources, identity and approval controls.
Implement prompt, model, retrieval and agent evaluations for quality, safety and security.
Apply guardrails for data leakage, prompt injection, excessive agency and unsafe outputs.
Containerise, deploy, monitor and optimise AI services in enterprise cloud environments.
Required skills
Python
LLM and agent frameworks
RAG and vector search
API and event-driven integration
Azure/AWS AI services
AI security, evaluation and observability
Required experience / knowledge areas
Relevant delivery experience in the stated domain.
Experience working with multidisciplinary technology, risk and business stakeholders.
Regulated financial-services experience is preferred.
Key deliverables
Production-ready GenAI/agent services
Automated evaluation and guardrail suite
Deployment, monitoring and operational runbooks
Certifications
Azure AI Engineer, AWS Machine Learning or equivalent desirable
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