About the Role / About the Job
As an Agent Engineer Intern, you will collaborate closely with the Operations, Engineering, and Product teams while engaging directly with clients to build, deploy, and enhance AI agents that address real-world challenges. Your work will involve developing Proofs of Concept (POCs), implementing agent solutions, and ensuring optimal performance of these agents.
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Key Responsibilities
Build & Deliver
- Build POCs for new client use cases, progressing from scoping to demo-ready delivery.
- Work with clients to understand their needs and translate them into functional agent workflows on our platform.
- Own end-to-end delivery of agent implementations, including timelines and outcomes.
- Keep clients updated on progress and manage expectations throughout the project.
Quality & Improvement
- Review voice calls and chat transcripts between AI agents and customers for accuracy, tone, compliance, and overall experience.
- Score conversations against our QA rubric, logging findings and flagging errors, hallucinations, missed cues, and compliance issues.
- Identify recurring patterns and recommend prompt and workflow improvements.
- Share feedback with the team to inform agent training and product updates.
- Help refine the QA rubric and contribute to weekly quality reports.
Requirements
- Fresh graduate, university student requiring co-op training, or final-semester student in Computer Science, Engineering, or a related field, able to commit to the internship.
- Interest in AI technologies, with a basic understanding of software testing and QA concepts; familiarity with programming or testing tools is a plus.
- Strong attention to detail, problem-solving, and analytical skills.
- Excellent communication skills and confidence working with clients.
- Fluent in Arabic and English, written and spoken.
- Eager to learn in a fast-paced environment.
Why Join Us?
- Be part of a high-growth, innovative tech start-up.
- Work in a collaborative, mission-driven culture with hands-on exposure to innovative AI products.
- Take ownership, grow, and make a real impact through real-world challenges.
