Agent Engineering Intern
AI in this role
About Us
Built with π in KSA and leveraging Silicon Valley expertise, weβre 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, weβre 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 β 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 β 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 β recurring failure modes, common customer questions, and opportunities to improve agent prompts and workflows.
β’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 improvements.
Occasionally review chat or text-based agent transcripts in addition to voice calls.
Requirements
Final semester or recent university graduate in Computer Science, Engineering, or related field
Interest in software quality assurance, testing, and AI technologies
Basic understanding of software testing concepts and methodologies
Familiarity with testing tools or programming languages is a plus
Strong attention to detail and problem-solving skills
Excellent communication and analytical abilities
Eagerness to learn and adapt in a fast-paced environment
Ability to speak and write fluently in both Arabic & English
Must be based in Riyadh
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
How we rate this
Agent Engineering Intern at Sarj.ai rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ββββ Builds AI80 to 100
- ββββ Works on AI60 to 79
- ββββ Uses AI40 to 59
- ββββ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What have you built with speech recognition or text-to-speech, and where did it break?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Agents and Speech. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them β a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project β this role expects it to be a running habit.
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