Agent Runtime Platform Engineer | Talent Arabia | UAE

Tech Junction Ltd; United Arab Emirates; On-site; AED 350,000 - 600,000; Full time

Job summary

Talent Arabia in the UAE is seeking an experienced Agent Runtime Platform Engineer to design and scale execution runtimes for autonomous AI agents, and to build distributed backends and containerized microservices.

You will collaborate with AI researchers and cloud architects, using Kubernetes, Docker, and REST/gRPC APIs to optimize performance, security, and reliability in production environments. UAE relocation is supported for the right candidate.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or a related field.
• 5+ years of professional software engineering experience, with focus on distributed systems or platform engineering.
• Hands-on experience building and supporting AI agent platforms, execution runtimes, or workflow orchestration engines.
• Deep technical proficiency in distributed systems architecture, REST/gRPC APIs, microservices, and containerization.
• Solid operational expertise with Kubernetes and cloud platforms (AWS, Azure).
• Strong analytical problem‑solving capabilities and passion for cutting‑edge AI technologies.
• Professional availability for employment in the UAE or willingness to relocate (Application email: [e-mail]).

Responsibilities

• Design, build, scale, and maintain high-performance runtime platforms and execution environments for AI agents.
• Develop robust distributed systems, microservices architectures, and high-throughput APIs to support agent workflows.
• Deploy, manage, and scale containerized application clusters utilizing Kubernetes, Docker, and service meshes.
• Drive comprehensive infrastructure automation, configuration management, and cloud platform optimization.
• Ensure low-latency inter-agent communication, secure state management, and reliable resource allocation.
• Collaborate with AI researchers, machine learning engineers, and software development squads.
• Troubleshoot complex distributed system anomalies, concurrency bottlenecks, and scaling issues promptly.
• Implement strict security guardrails, access controls, and sandboxing for autonomous agent execution.
• Maintain comprehensive technical documentation, architecture blueprints, and platform runbooks.
• Ensure adherence to enterprise software engineering standards, high availability, and disaster recovery plans.

Skills

Distributed systems

Kubernetes

REST APIs

Microservices

Cloud platforms

Python/Go/Rust

Education

Bachelor's or Master's in CS

Tools

Docker

Service mesh

AWS

Azure

Job description

Position Summary

Talent Arabia is seeking an experienced, highly technical, and accomplished Agent Runtime Platform Engineer with deep practical expertise in building and supporting AI agent platforms and runtime environments to join our client engagement team on a full-time, permanent basis in the UAE (candidates based in the UAE or willing to relocate). In this specialized platform engineering and distributed systems role, you will spearhead designing, developing, and scaling execution environments for autonomous AI agents, distributed APIs, and containerized microservices. You will work closely with AI researchers, backend engineers, and cloud architects to build production-scale agentic systems. Ideal candidates bring a robust academic degree in computer science, deep practical mastery of distributed systems and Kubernetes, and immediate availability.

Detailed Job Description

As an Agent Runtime Platform Engineer at Talent Arabia in the UAE, you will take full ownership of architecting, building, and maintaining robust execution runtimes and platform infrastructure for autonomous AI agents. Your day-to-day responsibilities encompass developing distributed backend systems, managing REST/gRPC APIs, orchestrating containerized workloads via Kubernetes, and driving automation across production-scale cloud environments. You will collaborate with machine learning engineers and software developers to optimize agent execution speed, concurrency, and memory management. Working in a fast-paced technology consulting environment, you will pioneer next-generation AI agent infrastructure.

Key Responsibilities

• Design, build, scale, and maintain high-performance runtime platforms and execution environments for AI agents.
• Develop robust distributed systems, microservices architectures, and high-throughput APIs to support agent workflows.
• Deploy, manage, and scale containerized application clusters utilizing Kubernetes, Docker, and service meshes.
• Drive comprehensive infrastructure automation, configuration management, and cloud platform optimization.
• Ensure low-latency inter-agent communication, secure state management, and reliable resource allocation.
• Collaborate proactively with AI researchers, machine learning engineers, and software development squads.
• Troubleshoot complex distributed system anomalies, concurrency bottlenecks, and scaling issues promptly.
• Implement strict security guardrails, access controls, and sandboxing for autonomous agent execution.
• Maintain comprehensive technical documentation, architecture blueprints, and platform runbooks.
• Ensure adherence to enterprise software engineering standards, high availability, and disaster recovery plans.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or a related field.
• Minimum 5+ years of professional software engineering experience, with demonstrated focus on distributed systems or platform engineering.
• Strong hands‑on experience building and supporting AI agent platforms, execution runtimes, or workflow orchestration engines.
• Deep technical proficiency in distributed systems architecture, REST/gRPC APIs, microservices, and containerization.
• Solid operational expertise with Kubernetes container orchestration and cloud platform infrastructure (AWS, Azure).
• Strong analytical problem‑solving capabilities and passion for cutting‑edge artificial intelligence technologies.
• Professional availability for employment in the UAE or willingness to relocate (Application email: [e-mail]).

Nice‑to‑Have Skills

• Advanced degree (Master’s or Ph.D.) in Computer Science or Artificial Intelligence.
• Hands‑on familiarity with agentic frameworks (LangChain, AutoGen, CrewAI) and LLM orchestration tools.
• Prior working experience in advanced AI research labs, high‑growth technology startups, or enterprise cloud providers.
• Strong programming proficiency in Python, Go, or Rust.
• Bilingual proficiency in Arabic and English.

Application Information

• Recruiter: Talent Arabia Recruitment Team
• Contact Name: Biman Saha (Business Coordinator)
• Email: [e-mail]
• Phone: Unspecified
• Application URL: Unspecified
• Salary/Rate: Competitive and commensurate with experience
• Deadline: Open until filled
• Notice Period: Immediate to short notice preferred
• Contract Duration: Permanent / Full-Time (UAE / Relocation supported)

Recruitment Pro Tip

When applying for agent runtime and distributed platform roles, ensure your resume explicitly highlights your Kubernetes scaling experience, microservices architecture depth, and agentic framework familiarity.