Senior Prompt Engineer: LLM Migration & Optimization

Welo Data is seeking a Senior Prompt Engineer to lead the technical migration of template workflows into high-performance LLM autoraters. This role focuses on optimizing model performance using advanced tools and manual refinement to ensure high accuracy and nuance in automated systems.

Responsibilities:

• Take full ownership of the end-to-end technical migration of templates to LLM autoraters
• Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and deadlocks
• Continuously measure quality against "gold data" baselines, tracking precision, recall, and $F_1$ scores to justify launch readiness
• Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools can't solve

Requirements:

• Bachelor's, Master's, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field
• 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning
• High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance
• Fast learner capable of mastering proprietary internal tools and 'Goose API' style interfaces with minimal oversight
• Familiarity with shadowbot monitoring and disagreement tracking
• Experience in AI model evaluation and software engineering
• Deep understanding of semantics, logic, and Chain-of-Thought (CoT) prompting
• Proven ability to draft high-level Launch Certification Documentation