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About the Role

We are looking for an AI-native Product Engineer who can take real problems and ship to production. 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.

Responsibilities

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.

Requirements

Have strong fullstack engineering skills, ideally with TypeScript, React, Next.js, Node.js and Postgres.
Have built and shipped real products end-to-end.
Can move from problem to working product without needing detailed specs.
Are comfortable with ambiguity and fast iteration.
Think deeply about user experience, not just implementation.
Care about clean architecture, good abstractions and production reliability.
Understand how modern AI products are built beyond simple prompting.
Know how to work with APIs, data models, permissions, background jobs and integrations.
Have strong product judgment and can challenge unclear requirements.
Communicate clearly with technical and non-technical people.
Are highly self-directed and take ownership without waiting to be told what to do.

Skills

TypeScript
React
Next.js
Node.js
Postgres
LLMs
Retrieval
Agents
Structured extraction
Tool use
APIs
Data models
Permissions
Background jobs
Integrations
AI coding tools

About the Company

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.