Senior AI Engineer
We're hiring a Senior AI Engineer to build and operate production-grade AI agents that automate business processes. The ideal candidate has shipped LLM-powered agent systems to production and can operate them as reliable services. They should have experience with integrations, monitoring, evaluation, and enterprise controls.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
DAMAC is investing in AI to materially improve productivity across the enterprise.
We’re hiring a hands-on Senior AI Engineer to ship and operate production-grade AI agents that drive measurable operational impact.
About the Role:
You will build an agentic platform and production AI agents that automate processes across the business. This is an engineering role with real uptime expectations and not a PoC environment.
Key Impact Areas:
- Build and run LLM-powered AI agents in production with uptime targets, observability, and operational standards
- Automate multi-step workflows
- Improve autonomous resolution, SLA performance, and cycle times
- Engineer secure, permission-based access to data
- Implement agent safety controls (guardrails, approvals, audit logging)
- Deploy with Docker, Kubernetes/AKS, SQL, and analytics
Who We’re Looking For:
A senior engineer who has shipped LLM-powered agent systems to production and can operate them as reliable services. You understand integrations, monitoring, evaluation, and enterprise controls and you can prove measurable outcomes (cost/time saved, SLA improvements, process reduction).
Why Join DAMAC:
Enterprise scale, visible sponsorship from senior leadership, and the mandate to deliver AI that changes how work gets done with real ownership and measurable impact.
Apply Now:
If you’ve built production AI agents that impact business, apply with a short summary of what you shipped, how it performed in production, and the KPIs it improved.
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