Production AI Engineer for Public Sector Backend

Scale AI; Kuwait City; On-site; KWD 20,000 - 32,000; Full time

Job summary

Scale AI is seeking an Applied AI Engineer for its Global Public Sector team. You will build AI that runs inside production systems used by national health and government organisations.

You'll own components such as model integration, agent tools, API, data pipelines, or evaluation, from implementation through to delivery. Senior engineers set the system-level design, enabling deep work on reliable data-driven components.

Qualifications

• Experience building and shipping production software, with proficiency in Python and working knowledge of at least one of TypeScript, Java, or C++.
• Hands-on experience integrating models or AI/ML components into a production application.
• Working understanding of ML evaluation: how to read results, spot regressions, and identify common causes of model failure.

Responsibilities

• Own the implementation, testing, and delivery of defined AI components within an established system design.
• Build agent tools, model integrations, and the backend services and APIs they depend on.
• Run and extend evaluations within an established framework, interpret results, investigate common failure modes, and flag regressions.
• Debug production issues in the components you own and resolve them using the team's engineering practices.
• Communicate progress and blockers early, and take responsibility for delivery dates within your scope.
• Work directly with client teams on the requirements and feedback for your components.
• Share what you learn with the team as you build public sector domain expertise.

Skills

Python

TypeScript

Java

C++

ML evaluation

production debugging

communication

Tools

AWS

GCP

Azure

Job description

Scale AI is seeking an Applied AI Engineer for its Global Public Sector team. You will build AI that runs inside production systems used by national health and government organisations.

You'll own components such as model integration, agent tools, API, data pipelines, or evaluation, from implementation through to delivery. Senior engineers set the system-level design, enabling deep work on reliable data-driven components.