Prompt Engineer: LLM Migration & Optimization
Technical Overview
Welo Data is seeking a technical Prompt Engineer to lead the end-to-end migration of template workflows into high-performance LLM autoraters. The role involves using advanced APG/APO tools and manual refinement to ensure automated systems meet (and exceed) human accuracy baselines.
The Mission
Architecting the Future of Rating
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.
Project Details
- Schedule: Part-Time (Flexible hours within project milestones)
- Location: 100% Remote (Must be based in the United States)
- Employment Type: Freelance / Independent Contractor
Who We Are Looking For
- Linguistic & AI Mastery: 2+ years of experience as a Prompt Engineer. 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.
- Preferred Skills: 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.