Agent Engineer

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, you’ll design, configure, and improve Voice AI agents that hold real conversations with our clients’ customers. Think of it as a client-facing prompt engineering role with project ownership: you’ll lead client projects from discovery to go-live, build prompts and conversation flows, integrate agents with client systems, and continuously improve performance based on real calls. You’ll work closely with our Operations, Engineering, and Product teams, and act as a key point of contact for clients throughout delivery. Key Responsibilities Build & Integrate • Design and refine prompts and conversation flows that shape how agents speak, respond, and handle complex requests. • Integrate agents with client systems (e.g. CRMs, booking and ticketing tools) through APIs and webhooks. • Build Proofs of Concept (POCs) for new client use cases, from scoping to demo-ready delivery. • Test agents across scenarios and edge cases to ensure reliable performance before and after launch. Own Delivery • Own end-to-end delivery of client projects, including scope, timelines, quality, and outcomes. • Serve as the main point of contact for clients, leading requirements gathering, progress updates, and expectation management. • Manage multiple projects at once, prioritizing effectively and flagging risks early. Improve & Optimize • Analyze real calls and transcripts against our quality rubric, identifying errors, hallucinations, and recurring failure patterns. • Turn insights into prompt, flow, and integration improvements, and share feedback that informs our product roadmap. • Contribute to weekly quality reports and help evolve our quality standards and best practices. • Support and guide interns on prompting and delivery best practices. Requirements • Bachelor’s degree in Computer Science, Engineering, or a related field. • Up to 2 years of relevant experience; fresh graduates with previous relevant internships are welcome to apply. • Fluent in Arabic and English, written and spoken. • Excellent communication skills and confidence leading client conversations. • Solid understanding of LLMs and prompt engineering. • Working knowledge of APIs, webhooks, and JSON. • Experience with a scripting language (e.g. Python or JavaScript) is a plus. • Proven ability to manage projects or deliverables with clear ownership. Why Join Us? • Opportunity to be part of a high-growth, innovative tech start-up • Collaborative, mission-driven culture • Hands-on experience working on impactful AI products Show more Show less

Bachelor’s degree in Computer Science, Engineering, or a related field. Up to 2 years of relevant experience; fresh graduates with previous relevant internships are welcome to apply. Fluent in Arabic and English, written and spoken. Excellent communication skills and confidence leading client conversations. Solid understanding of LLMs and prompt engineering. Working knowledge of APIs, webhooks, and JSON. Experience with a scripting language (e.g. Python or JavaScript) is a plus. Proven ability to manage projects or deliverables with clear ownership.

Build & Integrate: Design and refine prompts and conversation flows that shape how agents speak, respond, and handle complex requests. Integrate agents with client systems (e.g. CRMs, booking and ticketing tools) through APIs and webhooks. Build Proofs of Concept (POCs) for new client use cases, from scoping to demo-ready delivery. Test agents across scenarios and edge cases to ensure reliable performance before and after launch. Own Delivery: Own end-to-end delivery of client projects, including scope, timelines, quality, and outcomes. Serve as the main point of contact for clients, leading requirements gathering, progress updates, and expectation management. Manage multiple projects at once, prioritizing effectively and flagging risks early. Improve & Optimize: Analyze real calls and transcripts against our quality rubric, identifying errors, hallucinations, and recurring failure patterns. Turn insights into prompt, flow, and integration improvements, and share feedback that informs our product roadmap. Contribute to weekly quality reports and help evolve our quality standards and best practices. Support and guide interns on prompting and delivery best practices.