Senior AI Systems Engineer - Internal Agent Automation

Tanqeeb; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

Kraken is building the Agent Systems team—an internal AI-powered agents group that automates workflows by reasoning over user interactions and integrating with multiple internal APIs. The role blends AI/ML with backend and product engineering to ship production-grade systems.

You will prototype rapidly, then productionize valuable behaviors, improving speed, reliability and observability across internal tools at scale.

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 frontend surfaces.
• Hands-on experience with AI/ML systems, LLMs, or inference pipelines in production.
• Ability to prototype rapidly with a clear path to production-grade architecture.
• Strong systems thinking — able to reason about orchestration, failure modes, and observability.
• Comfort operating in ambiguous, 0→1 environments with high ownership.

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 to validate agent behaviors, then productionize what proves valuable.
• Architect backend services that integrate with multiple internal APIs and data sources.
• Define patterns for safe, observable, and controllable agent execution.
• Collaborate cross-functionally to identify high-leverage automation opportunities.
• Improve system speed, reliability, and signal quality as usage scales.

Skills

Backend engineering

APIs

Distributed systems

AI/ML systems

Prototyping

Observability

Ownership in 0→1

Job description

Kraken is building the Agent Systems team—an internal AI-powered agents group that automates workflows by reasoning over user interactions and integrating with multiple internal APIs. The role blends AI/ML with backend and product engineering to ship production-grade systems.

You will prototype rapidly, then productionize valuable behaviors, improving speed, reliability and observability across internal tools at scale.