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Welo Global
Germany
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for
Language Skills: Native fluency in German and fluent in English. Location: Must be based in Germany. Education: Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Li
Ref. Q6Z9M
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