Prompt Engineer (LLM Systems, Evals & Safety)

🏢 webook.com · all webook.com jobs
📍 Jordan
📅 Posted 2026-07-18 · via Himalayas
🏷 Prompt-Engineering,Machine-Learning-Engineering,NLP-Engineer,AI-Safety,Data-Science,AI-and-Prompt-Engineering-Intern,Prompt-Engineering-Intern
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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.

Originally posted on Himalayas

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