Berlin-based startup Saypien is building an architectural intelligence layer that is agentic, modular, and domain-aware. It ingests heterogeneous data, learns the context of a business, and continuously provides decision-ready guidance across products and teams. We are looking for engineers who can contribute to this core platform.
AI-Native Product Engineer
Location
Germany
Posted
2 days ago
Salary
0
Seniority
Mid Level
Job Description
AI-Native Product Engineer
Saypien
Role Description We are looking for an AI-native Product Engineer who can take real problems and ship to production. This is not a classic frontend or backend role. You will work end-to-end across product, design, engineering, AI workflows, data, and integrations. You should be comfortable understanding messy business problems, designing pragmatic solutions, shipping quickly, and improving based on real usage. We are looking for a builder who wants to own outcomes, not just tickets. What you will do - Own product problems end-to-end, from discovery to production. - Understand user problems, workflows, and constraints. - Turn vague requirements into clear product solutions. - Design and build fullstack features across UI, backend, database, APIs, and integrations. - Build AI-powered workflows using LLMs, retrieval, agents, structured extraction, and tool use. - Work with documents, data sources, and enterprise systems. - Ship quickly, test with users, and iterate based on feedback. - Care about product quality, UX, performance, reliability, security, and maintainability. - Use AI coding tools as part of your daily workflow. - Turn repeated customer patterns into scalable product features. Qualifications - Strong fullstack engineering skills, ideally with TypeScript, React, Next.js, Node.js, and Postgres. - Experience building and shipping real products end-to-end. - Ability to move from problem to working product without needing detailed specs. - Comfortable with ambiguity and fast iteration. - Deep thinking about user experience, not just implementation. - Care about clean architecture, good abstractions, and production reliability. - Understanding of how modern AI products are built beyond simple prompting. - Knowledge of working with APIs, data models, permissions, background jobs, and integrations. - Strong product judgment and ability to challenge unclear requirements. - Clear communication with technical and non-technical people. - Highly self-directed and take ownership without waiting to be told what to do. Company Description At Primefold, we are building an AI-native platform for managed agents that transform fragmented data into real-time strategy. Our goal is to create the operating layer for AI-powered decision-making: connecting data, documents, workflows, and expert knowledge so teams can move from information to action faster. We are building for complex, high-stakes business environments where decisions depend on large amounts of unstructured information, disconnected systems, and domain-specific knowledge. Berlin-based startup Saypien is building an architectural intelligence layer that is agentic, modular, and domain-aware. It ingests heterogeneous data, learns the context of a business, and continuously provides decision-ready guidance across products and teams. We are looking for engineers who can contribute to this core platform.
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