Prompt Engineer (LLM Systems, Evals & Safety)
webook.com · Remote · Location not stated
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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
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- Skills and tools
- python, a/b testing, typescript, ticketing
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Job details
- Where you can work
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- Employment type
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- Advertised pay
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- 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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