Agent Engineer Intern
Sarj.ai · Riyadh
About Us
Built with 💜 in KSA and leveraging Silicon Valley expertise, we’re creating innovative solutions in the realm of Voice AI and AI agents. As we continue our rapid growth trajectory in an exciting and dynamic market, we’re looking for A-players to join our team.
Role Overview
As an Agent Engineer Intern, you’ll configure and improve Voice AI agents that hold real conversations with our clients’ customers. Think of it as a client-facing prompt engineering role: you’ll work across a range of client projects, writing and refining prompts, building conversation flows, and testing how agents handle different scenarios. You’ll collaborate closely with our Operations, Engineering, and Product teams, and help deliver Proofs of Concept (POCs) and live agent projects.
Key Responsibilities
Write and refine prompts and conversation flows that shape how agents speak, respond, and handle requests.
Help build POCs for new client use cases, from scoping to demo-ready delivery.
Support the delivery of client projects alongside the team, helping keep timelines and quality on track.
Work with clients to understand their needs, share progress, and manage expectations.
Test agents across different scenarios and edge cases to make sure they perform reliably.
Review real calls and transcripts against our quality rubric, flagging errors, hallucinations, and missed cues.
Turn findings into prompt and flow improvements, 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.
Fluent in Arabic and English, written and spoken.
Excellent communication skills and confidence working with clients.
Basic knowledge of LLMs and prompting.
Familiarity with APIs and JSON is a plus.
Strong attention to detail and analytical thinking.
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.