Production AI Engineer for Public Sector Systems

Scale AI, Inc.; Kuwait City; On-site; KWD 36,000 - 90,000; Full time

Job summary

Scale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations.

You'll own scoped components of those systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery.

Qualifications

• Experience shipping production software with Python and at least one of TS/Java/C++.
• Hands-on model integration and deploying AI components.
• Understanding ML evaluation, results interpretation, and failure analysis.
• Experience owning a defined work from testing to production.
• Strong problem solving and data-driven model iteration.
• Clear written and verbal communication raising blockers and trade-offs.

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, interpret results, investigate failures, and flag regressions.
• Debug production issues in the components you own and resolve them using engineering practices.
• Communicate progress and blockers early, and own delivery dates within your scope.
• Work directly with client teams on requirements and feedback for your components.
• Share learnings to build public sector domain expertise.

Skills

Python

TypeScript

Java

C++

Model integration

ML evaluation

Production debugging

Communication

Tools

AWS

GCP

Azure

Job description

Scale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations.

You'll own scoped components of those systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery.