French Senior Prompt Engineer: LLM Migration & Optimization

Welo Data; Deutschland; Remote; EUR 83.000 - 165.000; Teilzeit

Zusammenfassung

Welo Data seeks a Senior Prompt Engineer to migrate template workflows to LLM autoraters and optimize performance using APG/APO tools. You will focus on precision, recall, and F1 while maintaining strict output quality in French and English contexts.

The role requires a strongFoundation in CS/DS/linguistics with 4+ years in prompt engineering, and a freelance/part-time arrangement based in France.

Qualifikationen

• 4+ years of experience tuning LLMs for structured outputs, complex classification, and few-shot learning.
• Experience with APG/APO tools and manual refinement to meet accuracy baselines.

Aufgaben

• Lead end-to-end migration of templates to LLM autoraters.
• Oversee optimization using APG and APO tools to improve model performance.
• Monitor quality against gold data, tracking precision, recall, and F1 scores for readiness.
• Manually draft and refine prompts to address edge-cases and architectural gaps.

Kenntnisse

LLM prompt engineering

Few-shot learning

Classification

SQL / data analytics

Analytical thinking

Ausbildung

Bachelor/Master/PhD in CS/DS/Computational Linguistics

Tools

Goose API

APG/APO tools

Shadowbot monitoring

Jobbeschreibung

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

This is a specialized role for a technical architect who understands that "perfecting a prompt" is a rigorous engineering discipline. You will leverage advanced APG/APO tools and manual refinement to ensure our automated systems meet—and exceed—human accuracy baselines in both German and English contexts.

The Mission: Automated Quality at Scale

• Architectural Migration: Take full ownership of the end-to-end technical migration of templates to LLM autoraters.
• Optimization Leadership: Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and logic deadlocks.
• Metrics-Driven Excellence: Continuously measure quality against "gold data" baselines, tracking precision, recall, and F1 scores to justify launch readiness.
• Edge-Case Engineering: Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools cannot solve.

Project Details

• Schedule: Part-Time (Set your own hours within project milestones).
• Location: 100% Remote (Must be currently based in France).
• Language: Native fluency in French and professional fluency in English.
• Employment Type: Freelance / Independent Contractor.

Candidate Profile

• Educational Foundation: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
• Prompt Engineering Mastery: 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning.
• Analytical Power: High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance.
• Technical Agility: Fast learner capable of mastering proprietary internal tools and "Goose API" style interfaces with minimal oversight.

Preferred Technical Skills

• Familiarity with shadowbot monitoring and disagreement tracking between human and LLM ratings.
• Hands-on experience with Chain-of-Thought (CoT) prompting and APO systems.
• Deep linguistic expertise, including a strong understanding of semantics and formal logic.
• Proven ability to draft high-level Launch Certification Documentation.