Applied AI Engineer: Build Production AI for Public Sector

Carbon Data Solutions

Kuwait City

On-site

KWD 20,000 - 32,000

Full time

9 hours ago
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Job summary

Scale AI seeks an Applied AI Engineer to deliver production-grade AI components for government and health sector clients. You will own model integrations, agent tooling, APIs, and data pipelines, working within a trusted production framework. The role emphasizes reliability on real data, testing, and rapid delivery.

You will collaborate with client teams, extend evaluations, and debug issues using scalable engineering practices while contributing to public sector AI domain expertise.

Qualifications

  • Experience building and shipping production software in a team
  • Proficiency in Python; working knowledge of at least one of TypeScript, Java, or C++
  • Experience integrating AI/ML components into production applications
  • Ability to own defined work from testing to release
  • Clear problem-solving with data-driven model iteration
  • Strong written and verbal communication, raising blockers early

Responsibilities

  • Own implementation, testing, and delivery of defined AI components within an established system design
  • Build agent tools, model integrations, and backend services and APIs
  • Run evaluations, interpret results, and flag regressions
  • Debug production issues and resolve them with engineering practices
  • Communicate progress and blockers, ensure delivery dates within scope
  • Collaborate with client teams on requirements and feedback for components
  • Share learnings to build domain expertise in public sector AI

Skills

Python
TypeScript
Java
C++
API development
ML evaluation

Tools

LLM tooling
Model deployment
Retrieval systems

Job description

Scale AI seeks an Applied AI Engineer to deliver production-grade AI components for government and health sector clients. You will own model integrations, agent tooling, APIs, and data pipelines, working within a trusted production framework. The role emphasizes reliability on real data, testing, and rapid delivery.

You will collaborate with client teams, extend evaluations, and debug issues using scalable engineering practices while contributing to public sector AI domain expertise.

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