Sarj.aiAgent Engineer
Sarj.ai is hiring an Agent Engineer in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
AI in this 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 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
How we rate this
Agent Engineer at Sarj.ai rates 70 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.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- 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: Prompt engineering, 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. 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. This role expects it to be a running habit.
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