German Senior Prompt Engineer: LLM Migration & Optimization

Welo Data; Deutschland; Vor Ort; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

Welo Data is seeking a highly technical Senior Prompt Engineer based in Germany to lead the migration of workflows into high-performance LLM autoraters. The role requires significant expertise in prompt engineering with over 4 years of relevant experience, native fluency in German, and professional fluency in English. Candidates will be responsible for optimizing model performance and ensuring accuracy standards. The position is freelance and fully remote, allowing flexible hours based on project milestones.

Qualifikationen

• 4+ years of experience tuning LLMs for structured outputs and few-shot learning.
• High proficiency in identifying error patterns.
• Fast learner capable of mastering proprietary tools.

Aufgaben

• Lead technical migration of template workflows to LLM autoraters.
• Utilize APG tools and supervise APO tools for model performance.
• Continuously measure quality against established baselines.

Kenntnisse

Prompt Engineering Mastery

Analytical Power

Technical Agility

Familiarity with shadowbot monitoring

Hands-on experience with Chain-of-Thought prompting

Ausbildung

Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics

Tools

SQL

APO systems

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 Germany 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 Germany).
• Language: Native fluency in German 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.