Prompt End Engineer (m/f/d)

Intro Job Summary: The Prompt End Engineer will be part of the AI & Innovation team and will play a critical role in shaping the development and deployment of prompt-based interactions using large language models (LLMs). This is a full-time, hybrid role (remote and/or in-office in Frankfurt/Eschborn), ideal for someone who thrives in cross-functional environments and enjoys building real, production-grade AI capabilities. We are looking for a motivated and technically skilled team member who is excited about prompt engineering, automation, and AI implementation at scale. This position offers a unique opportunity to directly influence how users interact with advanced language models and to contribute to cutting-edge product development across multiple domains. Tasks Duties/Responsibilities: Design, implement, and maintain stable, scalable prompts for production use across chatbots, virtual agents, and RAG (Retrieval-Augmented Generation) systems Collaborate with engineering, DevOps, and product teams to embed prompt strategies into live applications and backend pipelines Automate prompt testing, monitoring, and deployment workflows using Python and tools such as LangChain or similar frameworks Analyze and refine prompt outputs to improve performance, reliability, and reduce hallucinations or irrelevant responses Support the development of internal prompt management systems and prompt libraries Stay up to date with LLM developments and help translate innovations into usable, scalable product Requirements Preferred Skills/Abilities: Degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field Hands-on experience working with large language models (e.g. OpenAI, Anthropic, HuggingFace) Proficiency in Python, including using it for scripting, automation, or API integrations Strong understanding of prompt design, token/context management, and few-/zero-shot prompting methods Excellent communication skills in both English and German Ability to work in an agile team environment and contribute across functions Familiarity with RAG, vector search, embeddings, or prompt evaluation techniques Experience with CI/CD pipelines for prompt systems or automated prompt testing Knowledge of tools like Git, Notion, Slack, or internal LLM sandboxes Must be fluent in: English and german Benefits Work Environment: This is a hybrid role with flexibility for remote work, with regular collaboration with teammates located in Frankfurt/Eschborn. Closing What We Offer: A flexible hybrid work model A collaborative, low-ego team culture Modern tools and infrastructure for AI product development Dedicated time and budget for learning and exploration Flat hierarchies and short decision-making paths We are looking forward to hear from you!