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Gen / Agentic AI Engineer

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Onsite

Gen / Agentic AI Engineer

TAT IT Technolgies

Gen / Agentic AI Engineer

Skills

PythonMachine LearningAIAWSGitHubKubernetesAzure

8 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

16 October 2026

What they need


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

Preferred Tools / Platforms

  • Python
  • Azure OpenAI/AWS Bedrock
  • LangChain or Semantic Kernel
  • Vector database
  • GitHub/Azure DevOps
  • Kubernetes

Skills: bank,agentic ai,gen

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