Voice AI Agent Engineer Intern

Sarj AI; Riyadh; On-site; SAR 17,000 - 28,000; Part time

Job summary

Sarj AI is seeking an Agent Engineer Intern to configure and improve Voice AI agents, writing and refining prompts while shaping conversation flows for client projects. You will collaborate across Operations, Engineering, and Product teams to deliver proofs of concept and live agent deployments.

The role requires a CS/Engineering-focused student or fresh graduate, fluent in Arabic and English, with strong communication, basic knowledge of LLMs, prompting, and familiarity with APIs/JSON.

Qualifications

• Currently a student or fresh graduate in CS, Engineering or related field.
• Fluent in Arabic and English, written and spoken.
• Strong communication skills and client-facing confidence.
• Basic knowledge of LLMs and prompting.
• Familiarity with APIs and JSON is a plus.
• Excellent attention to detail and analytical thinking.
• Eager to learn in a fast-paced environment.

Responsibilities

• Write and refine prompts and conversation flows for agents.
• Assist in building proofs-of-concept (POCs) and live agent projects.
• Support delivery of client projects, maintaining timelines and quality.
• Collaborate with Operations, Engineering, and Product teams.
• Test agents across scenarios and edge cases for reliability.
• Review transcripts against quality rubrics and flag issues.
• Contribute to weekly quality reports with findings.

Skills

Arabic

English

Prompt engineering

LLMs

APIs

JSON

Client communication

Attention to detail

Quick learner

Education

CS/Engineering student or related field

Tools

JSON

APIs

Job description

Sarj AI is seeking an Agent Engineer Intern to configure and improve Voice AI agents, writing and refining prompts while shaping conversation flows for client projects. You will collaborate across Operations, Engineering, and Product teams to deliver proofs of concept and live agent deployments.

The role requires a CS/Engineering-focused student or fresh graduate, fluent in Arabic and English, with strong communication, basic knowledge of LLMs, prompting, and familiarity with APIs/JSON.