# Prompt Engineer (LLM Systems, Evals & Safety)

**Company:** [webook.com](http://jobs.workable.com/companies/nFoiJbMb2YRXRa8nUPpzGY.md)
**Location:** Remote
**Workplace:** remote
**Department:** Innovation

[Apply for this job](http://jobs.workable.com/view/58ccfe5c-1cb0-4fca-8ffa-03cec90ed419)

## Description

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.