Senior Prompt Engineer

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏱ Part Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Welo Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.

📋 Description

• Responsible for end-to-end technical migration workflow for transitioning templates to LLM autoraters. • Use internal tools to leverage prompt engineering techniques to maximize model performance. • Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. • Run and supervise Automated Prompt Optimization (APO) tool, reviewing outputs and flagging 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. • 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, calculating accuracy metrics such as F1 scores, precision, and recall. • Draft technical launch readiness justifications (Launch Certification Documentation) for final.

🎯 Requirements

• Native fluency in English. • Must be based in United States. • Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. • At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. • Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. • Ability to quickly learn and master proprietary tools with minimal supervision. • Excellent verbal and written communication skills.