Production AI Engineer for Public Sector Systems

Scaleai

Kuwait City

On-site

KWD 7,000 - 11,000

Full time

2 days ago
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Job summary

Scale AI is seeking an Applied AI Engineer to build AI that runs inside production systems for public sector clients. You’ll own scoped components such as model integrations, agent tooling, APIs and data pipelines, from implementation through to delivery.

Senior engineers set system design and client commitments, enabling deep work on reliable data-driven components. You’ll work closely with client teams to understand requirements, test in production, and extend evaluation frameworks.

Qualifications

  • Experience building and shipping production software with Python and one of TypeScript, Java or C++.
  • Hands-on experience integrating models or AI/ML components into production apps.
  • Understanding ML evaluation, reading results, spotting regressions and failures.
  • Ownership of a defined work item through testing, release and production debugging.

Responsibilities

  • Own the implementation, testing and delivery of defined AI components within an established system design.
  • Build agent tools, model integrations and backend services and APIs they depend on.
  • Run evaluations, interpret results, investigate failures, and flag regressions.
  • Debug production issues and resolve them using established engineering practices.
  • Communicate progress and blockers early and manage delivery dates within scope.
  • Collaborate with client teams on requirements and feedback for components.
  • Share learnings to build domain expertise across the team.

Skills

Python
TypeScript
Java
C++
ML in production
Debugging
Communication

Education

Bachelor's degree in CS/SE

Tools

APIs
Cloud platforms
RAG / agent tooling
Model integrations
Data pipelines

Job description

Scale AI is seeking an Applied AI Engineer to build AI that runs inside production systems for public sector clients. You’ll own scoped components such as model integrations, agent tooling, APIs and data pipelines, from implementation through to delivery.

Senior engineers set system design and client commitments, enabling deep work on reliable data-driven components. You’ll work closely with client teams to understand requirements, test in production, and extend evaluation frameworks.

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