Prompt Engineer (LLM Systems, Evals & Safety)

webook.com · Remote · Location not stated

Location not statedExperience not statedPublished 12 January 2026Ghost risk: high

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First recorded by Psst: 3 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Experience not stated
Where you can live
Location not stated
Skills and tools
python, a/b testing, typescript, ticketing

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Job details

Where you can work
Location not stated
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
Experience not stated
Employer publication date
12 January 2026
First recorded by Psst
3 November 2026
Last checked at the source
3 November 2026

About the job

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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Ghost Job Detector: Ghost risk: high
  • Open 10 months
  • No pay listed
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