Agent Engineering Intern
Operations
About the role
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 Engineering Intern, you will work closely with our engineering, product, and client-facing teams to design, build, and deploy AI agents that solve real-world problems. You'll support Proof of Concept (POC) development, own the end-to-end delivery of agent implementations, and interface directly with clients - gaining hands-on experience in one of the most in-demand areas of modern AI.
KEY RESPONSIBILITIES
- Support the development of Proof of Concepts (POCs) for new client use cases, from scoping through to demo-ready delivery.
- Design and build AI agents using our platform, translating client
requirements
into functional agent workflows.
- Own end-to-end delivery of agent implementations - taking responsibility for timelines, quality, and outcomes.
- Interface with clients to gather requirements, present progress, answer questions, and manage expectations throughout the project lifecycle.
- Listen to recorded calls between AI agents and customers, evaluating each interaction for accuracy, tone, compliance, and customer experience.
- Score conversations against a defined quality rubric and document findings in our QA tracking system.
- Flag agent errors, hallucinations, missed customer cues, and policy or compliance issues for the team to address.
- Identify patterns and trends across calls - recurring failure modes, common customer questions, and opportunities to improve agent prompts and workflows.
- •Partner with the Operations team to share feedback that informs agent training, prompt updates, and product improvements.
- Help refine and evolve the QA rubric and scoring guidelines as our agents grow and change.
- Contribute to weekly quality reports summarizing performance metrics, key issues, and recommended…