Agent Runtime Platform Engineer

TalentRecruit Software Private Limited; Abu Dhabi; On-site; AED 240,000 - 360,000; Part time

Job summary

TalentRecruit Software Private Limited in Abu Dhabi seeks an Agent Runtime Platform Engineer to design and build enterprise runtime foundations for AI agents and agentic apps. The role focuses on platform engineering with scalable, secure patterns across AKS, Kubernetes, and cloud-native environments.

You will create reusable runtime capabilities, implement operator-ready patterns, and work with AI platform teams to ensure production readiness and observability.

Qualifications

• 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.

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.

Skills

AKS

Kubernetes

Azure Container Apps

Containers

Networking

Workload Identity

Ingress

APIs

Gateways

Secrets Management

Cloud-native Runtime

Tools

Terraform

GitHub Actions

Job description

Job Location Abu Dhabi (Work From Office)

Job Type Contract

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.