AI Release & Ops Engineer (LLMOps, Canary Deploys)

Halian | Managed Services, Recruitment Agency & Contract Staffing; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

Halian is seeking an AI Ops Engineer in Abu Dhabi, United Arab Emirates, to establish the operational backbone for enterprise AI platforms. You will enable application teams to release AI products safely, repeatedly, and at scale, focusing on production release discipline, LLMOps practices, deployment automation, governance, cost visibility, and self-service operating standards.

The role requires strong production engineering background with hands-on CI/CD and environment management, known

Qualifications

• Strong production engineering background in enterprise AI platforms.
• Hands-on CI/CD, GitHub Actions or equivalent automation and env management.
• Working knowledge of LLMOps, telemetry, release governance, and production-readiness.
• Experience with observability, change control, reliability, and improvement.

Responsibilities

• AI Release Engineering & CI/CD: design standard release pipelines and controls across environments.
• LLMOps & AI Lifecycle Management: embed controls for models and assets for auditability.
• Progressive Delivery: implement canary releases and rollback readiness.
• Evaluation, Observability & Production Readiness: add telemetry, dashboards, runbooks and criteria.
• AI FinOps & Capacity Governance: visibility of model usage, token spend, and capacity.
• Self-Service & Continuous Improvement: create reusable templates and playbooks.

Skills

Production engineering

CI/CD automation

LLMOps

Observability

Stakeholder alignment

Tools

GitHub Actions

Telemetry tooling

Job description

Halian is seeking an AI Ops Engineer in Abu Dhabi, United Arab Emirates, to establish the operational backbone for enterprise AI platforms. You will enable application teams to release AI products safely, repeatedly, and at scale, focusing on production release discipline, LLMOps practices, deployment automation, governance, cost visibility, and self-service operating standards.

The role requires strong production engineering background with hands-on CI/CD and environment management, known