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Location
Remote (Jordan)

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Jan 12, 2026. Webook scores A on the Alion truth index.

Overview
Company
Impact
Profile match
webook is a Saudi event ticketing and experience booking platform based in Riyadh that sells tickets for concerts, sports, festivals and attractions and serves event organisers and venue operators. It has handled ticketing for some of the largest mega events in the kingdom, reports cumulative sales of more than 2 billion, and is expanding abroad with teams in Jordan, Morocco and Portugal. It hires software, DevOps and AI automation engineers, prompt engineers, sales and partnership staff, contact center agents and leads, HR and office managers, legal analysts and Tamheer interns in Saudi Arabia.

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you are looking for , webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.

Role Overview

Design high-quality prompts, system instructions, and tooling that make our LLM features accurate, safe, and cost-effective. You’ll own evaluation, prompt versioning, and continuous improvement.

Key Responsibilities:

  • Author, refactor, and chain prompts (system/tool/policy) for varied tasks.
  • Create offline/online evaluation harnesses (rubrics, golden sets, metrics).
  • Build prompt libraries with versioning, A/B testing, and telemetry.
  • Reduce hallucinations via verification, constrained decoding, and tool use.
  • Implement safety: jailbreak/prompt-injection tests, content policy checks, PII handling.
  • Partner with engineers to integrate prompts into production features.

Requirements

  • Demonstrated prompt design across multiple task types and models.
  • Experience building eval datasets and automated scoring (e.g., accuracy, faithfulness, utility, cost/latency).
  • Familiarity with retrieval-augmented generation concepts and tool/function calling.
  • Strong scripting (Python/TypeScript) for data prep, evals, and analysis.
  • Clear writing; ability to translate business goals into measurable prompt specs.

Nice-to-Haves

  • Experience with LangChain/LLM orchestration, vector stores, and rerankers.
  • Knowledge of safety tooling and red-teaming techniques.
  • Experiment platforms (feature flags, A/B tests), analytics.
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