Your mission We are seeking an AI Prompting Engineer to join our AI Delivery team and elevate our AI capabilities to new levels of accuracy and efficiency. In this role, you will design, test, and optimize AI Agents for large language models (LLMs) to improve the accuracy and efficiency of document understanding and other AI-driven processes. You will collaborate closely with data scientists, machine learning engineers, and product teams to develop state-of-the-art AI solutions. Key Responsibilities: Translate clients and internal business goals into AI solutions: Partner with customer success and product teams, as well as clients, to understand document-driven workflows, identify key KPIs affected by these workflows, and pinpoint where AI can drive efficiency, accuracy, or cost savings. Craft and refine prompts for AI agents: Design, develop, and refine prompts to optimize LLM outputs for intelligent document processing and other applications, ensuring solutions are aligned with business requirements and deliver tangible ROI. Own and evolve our AI Agent prompt library: Manage our product’s prompt library, which is central to our product’s effectiveness and a key driver of our competitive edge. Embed AI workflows into customer journeys: Collaborate with implementation teams to seamlessly integrate AI solutions into current platforms. Share what you learn: Document use cases, best practices, business impact analyses, and lessons learned in clear business terms so that consulting teams, project managers, and end users can easily replicate and scale. Stay ahead of the curve: Keep an eye on emerging AI capabilities, tools, and market trends, evaluate their potential business impact and strategic relevance, and help decide which to pilot or adopt next. Your profile Degree in a relevant field: Business Analytics, Economics, Computer Science, Data Science, Machine Learning, Artificial Intelligence, Business Informatics, or similar. Proven AI & LLM expertise: Hands-on experience with large language models and prompt-engineering techniques, with the ability to deliver business value from day one. A basic understanding of how large language models work is essential. Experienced professional: 4+ years of hands-on experience, preferably in consulting, workflow automation, or digital transformation. Hands-on with technology: Comfortable running small experiments, collaborating with engineers, and understanding core AI model concepts—even if not writing deep neural-network code daily. Curious and proactive: Track industry trends, recommend new tools or techniques, and pilot them with real users. Great communicator: Skilled at leading workshops, writing clear executive summaries, and rallying cross-functional teams around a common vision. Nice to Have Experience with Python and SQLExperience with document-centric projects (e.g., invoice processing, contract analytics, claims automation) and familiarity with business automation platforms (e.g., Ui Path) or IDP suites. Knowledge of major ERP systems (e.g., SAP, Oracle) and their role in core business processes, particularly how intelligent document processing can enhance data accuracy and workflow efficiency within these systems. Our Promise We trust amazing people to do amazing things and make a long-term impact. We give you freedom and ownership of meaningful work that directly impacts the business. In addition to top-market compensation, enjoy unlimited vacation days, professional development activities, meal allowances, sporting activities, free beers, and a hybrid working mode. We're building a positive organizational culture where personal and professional growth are as important as business growth. We believe diverse perspectives make Hypatos a better community. We are committed to building a diverse and inclusive environment where everyone feels they belong.
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