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Prompt Engineer (LLM Systems, Evals & Safety)

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Prompt Engineer (LLM Systems, Evals & Safety)

webook.com

Prompt Engineer (LLM Systems, Evals & Safety)

Skills

TypescriptPythonData Analysis

18 days ago

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Important information


Contract type:

Permanent

Location:

Amman, Jordan

Work mode:

Remote

Published on:

11 October 2026

What they need


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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