Lead Prompt Engineer

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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

• Guide and manage a team through the full technical migration process. • Transition templates to LLM autoraters. • Leverage advanced prompt engineering techniques and internal tools to optimize model performance. • Drive strategy, mentor junior engineers, and shape the future of AI-driven solutions. • Utilize Automatic Prompt Generation (APG) tools to create baseline prompts. • Run and supervise Automated Prompt Optimization (APO) tool, review outputs, and resolve deadlocks or plateaus. • Manually draft, test, and refine prompts for complex template architectures. • Monitor shadowbot runs to ensure sufficient disagreements between human and LLM ratings are registered and tracked. • Run prompt versions against established gold data to measure autorater quality.

🎯 Requirements

• Native fluency in English. • Must be based in United States. • 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 7 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.