Senior AI Agent Systems Engineer

Ink Foundation

Dubai

On-site

AED 350,000 - 650,000

Full time

3 days ago
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Job summary

Payward in Dubai is seeking an experienced engineer to help build and scale AI-powered agent systems that automate internal workflows. You will work across backend systems, data sources, and APIs to enable fast, reliable automation.

The role requires hands-on experience with AI/ML pipelines, strong systems thinking, and a track record of taking prototypes to production. You’ll join a high-ownership, 0→1 environment with ambitious automation goals.

Qualifications

  • 5+ years of experience building and shipping production software systems.
  • Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
  • Experience building fullstack systems, with comfort across backend and occasional frontend surfaces.
  • Hands-on experience with AI/ML systems, LLMs, or inference pipelines in production.

Responsibilities

  • Build and ship AI-powered agent systems that automate internal workflows and decision paths.
  • Design and implement inference pipelines that reason over user interactions across internal systems; prototype quickly and productionize valuable work.
  • Architect backend services that integrate with multiple internal APIs and data sources.
  • Define patterns for safe, observable, and controllable agent execution.
  • Collaborate across product, infrastructure, and operations to identify high-leverage automation opportunities.
  • Improve system speed, reliability, and signal quality as usage scales.
  • Contribute to foundational design decisions for a 0→1 agent platform.

Skills

Backend engineering
APIs
Distributed systems
Data modeling
Reliability
AI/ML systems
Prototype to production

Job description

Payward in Dubai is seeking an experienced engineer to help build and scale AI-powered agent systems that automate internal workflows. You will work across backend systems, data sources, and APIs to enable fast, reliable automation.

The role requires hands-on experience with AI/ML pipelines, strong systems thinking, and a track record of taking prototypes to production. You’ll join a high-ownership, 0→1 environment with ambitious automation goals.

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