AI Engineer Automation And Agentic System Specilaist

Dubai / Remote, UAE

Posting Date: Jul-29, 2026

Location & Relocation

Dubai/Remote

Project Details

• Dubai/Remote
  
  

• Bachelor's degree (Graduate) in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or equivalent.
• 3-5 years total professional experience in software, automation or platform engineering.
• Within that, at least 1-2 years hands-on experience building AI agents or LLM- based automation solutions that reached real users — proof-of-concept and demo work alone is not sufficient.
• Evidence of at least one AI or automation solution taken into day-to-day operational use, with the candidate able to describe how it was tested, what failed in practice, and how it was corrected.
• Experience deploying solutions within an enterprise environment subject to change control and security review.
  
  

• A. Agent Design & Development ï‚
• Design, develop and deploy AI agents that automate defined business, project, compliance and administrative workflows. ï‚
• Select the appropriate approach for each problem — a tool-using agent, a multi- step agenti
• B. Enterprise Integration ï‚
• Build and maintain integrations between AI agents and MVL systems, including the ERP and project management platforms, Microsoft 365, SharePoint Online, Teams and Dataverse. ï‚
• Implement integrations to production stand
• C. Retrieval & Knowledge Engineering ï‚
• Design and operate retrieval-augmented generation (RAG) pipelines over MVL's document estate, including project documentation, contracts, policies and correspondence.ï‚
• Own the ingestion pipeline: format hand
• D. Evaluation, Testing & Quality ï‚
• Build and maintain test sets and evaluation checks for every production agent, covering both retrieval quality and end-to-end task success. ï‚
• Define the accuracy threshold an agent must meet before it is release
• E. Deployment, Operations & Monitoring ï‚
• Deploy agents onto MVL's approved Azure and Microsoft 365 platforms using repeatable, source-controlled pipelines rather than manual configuration. ï‚
• Instrument agent runs so that tool calls, retrieved con
• F. Security, Governance & Documentation ï‚
• Apply AI-specific security controls, including defence against direct and indirect prompt injection, restriction of the tools an agent may invoke, and validation of outputs before any action is taken. ï‚
• T