deine aufgaben
Your Mission At Hypatos , we build and sell vertical AI Agents that automate document-heavy back-office workflows across core enterprise processes such as Purchase-to-Pay (P2P), Order-to-Cash (O2C), and Record-to-Report (R2R). As a (Senior) AI Solution Builder , you take full ownership of designing, building, and scaling these AI Agents on top of the Hypatos platform, turning them into production-grade solutions. Your work directly shapes our core product and is rolled out across our customer base. You operate within the Product organization at the intersection of Engineering, Applied AI, QA and Customer Operations. This is a highly collaborative role — you are the bridge between business problems and technical solutions. Your focus is hands-on execution — turning real-world business problems into robust, production-ready AI workflows using prompt engineering, data, and agentic systems Key Responsibilities
- Build AI solutions end-to-end – Design, implement, and continuously improve out-of-the-box AI Agent solutions across P2P, O2C, and R2R processes.
- Translate business needs into working AI systems – Partner closely with Product, Pre-Sales, Delivery, and customers to understand real-world requirements and turn them into robust, multi-step automation flows on the Hypatos AI Agent platform.
- Own prompt engineering & LLM behavior – Develop, test, and refine prompts, context strategies, and evaluation methods to ensure reliable, high-quality outputs.
- Work hands-on with real data & drive quality – Dive into customer data, edge cases, and process variations to make solutions production-ready; define KPIs, evaluate systematically, and optimize for accuracy, robustness, and business impact.
- Identify and close gaps – Spot limitations in existing solutions or the platform and work with Product and Engineering to improve them.
- Scale solutions – Scale solutions across customers by creating reusable blueprints and enabling our go-to-market and delivery teams.
dein profil
Your Profile
- Background & Experience: Degree in Business Informatics, Computer Science, Engineering, or a related field. Combined with hands-on experience in Solution Engineering, Technical Product Management, Applied AI/ML, Implementation Consulting, or similar roles, preferably in a B2B SaaS environment.
- AI, LLM & Technical Fluency: Strong practical experience with AI/LLMs (e.g. ChatGPT, Claude, Microsoft Copilot), comfortable working with APIs, JSON, and data structures, hands-on experience with scripting or coding, and the ability to translate business problems into structured prompts and systematically improve outputs.
- Builder & Execution Mindset: You enjoy building things end-to-end — hands-on, execution-driven, with deep focus and attention to detail; you dive into complex problems, maintain high concentration over extended periods, and