Prompt Engineer: LLM Migration & Optimization

Are you an expert at navigating the complex logic of Large Language Models? Welo Data is seeking a technical Prompt Engineer to lead the end-to-end migration of template workflows into high-performance LLM autoraters.

This isn't just about writing prompts—it’s about engineering a technical bridge. You will use advanced APG/APO tools and manual refinement to ensure our automated systems meet (and exceed) human accuracy baselines.

• Technical Migration: Take ownership of the workflow for transitioning templates to LLM autoraters.
• Optimization Leadership: Run and supervise Automated Prompt Optimization (APO) tools, identifying where logic plateaus and providing the manual "spark" to overcome deadlocks.
• Metrics-Driven Accuracy: Continuously measure quality against gold data, calculating critical performance metrics like precision, recall, and $F_1$ scores.
• Edge-Case Engineering: Solve complex scenarios by designing manual prompts that handle anti-patterns and broken logic in legacy architectures.

• Schedule: Part-Time (Flexible hours within project milestones)
• Location: 100% Remote (Must be based in the United States)
• Employment Type: Freelance / Independent Contractor

• Linguistic & AI Mastery: 2+ years of experience as a Prompt Engineer. You must be comfortable tuning LLMs for structured outputs and complex classification tasks.
• Academic Background: BS, MS, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
• Technical Agility: Fast learner capable of mastering proprietary internal tools and interfaces (like the Goose API) with minimal supervision.
• Data Fluency: Strong ability to identify error patterns and use SQL or data analytics tools to analyze model performance.

• Familiarity with shadowbot disagreement tracking between humans and LLMs.
• Hands-on experience with Chain-of-Thought (CoT) and few-shot learning.
• Proven ability to draft high-level Launch Certification Documentation.