About the Role
As an Agent Engineer Intern, you will collaborate with the Operations, Engineering, and Product teams while directly engaging with clients to build, deploy, and enhance AI agents that address real-world challenges. Your role involves constructing Proofs of Concept (POCs), delivering agent implementations, and ensuring optimal performance of our AI agents.
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Key Responsibilities
Build & Deliver
- Build POCs for new client use cases, from scoping through 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 managing timelines and outcomes.
- Keep clients updated on project progress and manage their expectations throughout the process.
Quality & Improvement
- Review voice calls and chat transcripts between AI agents and customers for accuracy, tone, compliance, and experience.
- Score conversations against our QA rubric, logging findings and flagging errors such as hallucinations, missed cues, and compliance issues.
- Identify recurring patterns and recommend improvements for prompts and workflows.
- 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 able to commit to the internship, in Computer Science, Engineering, or a related field.
- 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 abilities, and analytical skills.
- Excellent communication skills and confidence when interacting with clients.
- Fluent in Arabic and English, both 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 tackling real-world challenges.
