Own and optimise the LLM, RAG, prompt and voice-agent systems behind EMMA, helping patients get accurate, clinically safe responses across chatbot, voice and telephony services.
Prompt Engineer (LLM Systems, Evals & Safety)
๐ Description
- Author, refactor, and chain system, tool, and policy prompts for varied tasks.
- Build offline and online evaluation harnesses using rubrics, golden sets, and metrics.
- Create versioned prompt libraries with A/B testing and telemetry.
- Reduce hallucinations through verification, constrained decoding, and tool use.
- Implement safety checks for jailbreaks, prompt injection, content policies, and PII handling.
- Partner with engineers to integrate prompts into production features.
๐ ๏ธ 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.
Full job 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 Saudiโs #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. Youโll 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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