Cloud-Native AI Agent Runtime Platform Engineer

Halian | Managed Services, Recruitment Agency & Contract Staffing

Abu Dhabi

On-site

AED 180,000 - 300,000

Full time

11 days ago

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Qualifications

  • Hands-on experience with AKS, Kubernetes, and cloud-native workload design.
  • Proficiency in Terraform and automation (GitHub Actions or equivalent).
  • Ability to create reusable platform products for engineering teams.

Responsibilities

  • Design and engineer runtime patterns for agents and containerized services across cloud-native infra.
  • Build reusable platform APIs and infrastructure patterns for provisioning and operating agent workloads.
  • Define standards for agent manifests, runtime configuration, tool definitions, and scale management.
  • Standardize secure integration patterns for model, MCP servers, and enterprise APIs.
  • Provide self-service templates, SDKs, reference implementations, and onboarding journeys.

Skills

AKS
Kubernetes
Azure Container Apps
Containers
Networking
Secrets management
GitHub Actions
Terraform
Platform modules

Tools

Terraform
CI/CD automation

Job description

Role Overview:

We are seeking an Agent Runtime Platform Engineer to design and build the enterprise runtime foundation for AI agents and agentic applications. This role is focused on platform engineering first, with a strong understanding of agent engineering standards and deployment patterns. The engineer will create secure, reusable, and self-service runtime capabilities that enable teams to deploy agents consistently across cloud-native environments such as AKS, Azure Container Apps, Kubernetes, APIs, event-driven services, and container platforms.

Key Responsibilities:
  • Agent Runtime Platform: Design and engineer runtime patterns for agents, MCP servers, APIs, containerized services using AKS, Azure Container Apps, Kubernetes, queues, events, and cloud-native infrastructure.
  • Platform Engineering Standards: Build reusable infrastructure patterns, and platform APIs that allow teams to provision and operate agent workloads consistently across environments.
  • Agent Engineering Standards: Define standards for agent manifests, runtime configuration, tool definitions, so agent workloads can be managed at scale.
  • Secure Integration Patterns: Standardize how agents connect to model, MCP servers and enterprise APIs using approved network, identity, and access-control patterns.
  • Developer Self-Service: Provide paved-road templates, SDKs, reference implementations, documentation, and onboarding journeys that help application teams build and deploy agents without recreating runtime or infrastructure decisions.
  • Operational Readiness: Ensure agent workloads are observable, scalable, and production-ready.
Technical & Professional Requirements:
  • Strong hands-on experience with AKS, Azure Container Apps, Kubernetes, containers, networking, workload identity, ingress, API gateways, private connectivity, secrets management, and cloud-native runtime design.
  • Expertise in Terraform, GitHub Actions or equivalent automation, reusable platform modules, deployment templates, and environment-aware provisioning practices.
  • Working knowledge of AI agent architectures and API/service contracts.
  • Ability to convert complex runtime and integration patterns into simple, reusable platform products for engineering teams.
  • Strong understanding of security, observability, scaling, resilience, cost control, release promotion, and operational readiness for production workloads.
  • Ability to work closely with AI platform engineers, AI Ops, cybersecurity, architecture, and application teams.

Agent Runtime Platform Engineer in Abu Dhabi, United Arab Emirates

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