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Agent Engineer Intern

Sarj | سرج
Riyadh, KSA
Internship
Intern
Onsite
Discovered 2 weeks ago
AI agentsVoice AIProof of concept developmentAgent workflow implementationSoftware testingQuality assurance

Full Job Posting

About Sarj

Built in Saudi Arabia with Silicon Valley expertise, Sarj develops Voice AI and AI agent solutions.

Role overview

The Agent Engineer Intern works with Operations, Engineering, and Product teams and engages directly with clients.

The role builds, deploys, and improves AI agents for real-world client problems.

Build and deliver

  • Build proof-of-concept solutions for client use cases, from scoping through demo-ready delivery.
  • Translate client needs into functional agent workflows on the platform.
  • Own end-to-end agent implementation delivery, including timelines and outcomes.
  • Update clients on progress and manage expectations.

Quality and improvement

  • Review voice calls and chat transcripts for accuracy, tone, compliance, and customer experience.
  • Score conversations using the QA rubric; log findings and flag errors, hallucinations, missed cues, and compliance issues.
  • Identify recurring patterns and recommend prompt and workflow improvements.
  • Share feedback for agent training and product updates; help refine the QA rubric and weekly quality reports.

Requirements

  • Fresh graduate, university student requiring co-op training, or final-semester student able to commit to the internship, in Computer Science, Engineering, or a related field.
  • Interest in AI technologies and a basic understanding of software testing and QA concepts; programming or testing-tool familiarity is a plus.
  • Strong attention to detail, problem-solving, analytical, and communication skills; confidence working with clients.
  • Fluent in written and spoken Arabic and English; eager to learn in a fast-paced environment.

Why join

  • Join a high-growth technology startup and collaborative, mission-driven culture.
  • Gain hands-on exposure to AI products, ownership, and real-world challenges.

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