AI-Native Product Engineer
Ready to build AI products that solve real problems? Join Synmatch AI's client as an AI-Native Product Engineer with a Berlin-based startup building an AI-native platform for managed agents that transform fragmented data into real-time strategy. They're creating the operating layer for AI-powered decision making connecting data, documents, workflows, and expert knowledge so teams can move from information to action faster.
This is not a classic frontend or backend role. You'll work end-to-end across product, design, engineering, AI workflows, data, and integrations. You'll understand messy business problems, design pragmatic solutions, ship quickly, and improve based on real usage. They're looking for a builder who owns outcomes, not tickets.
Our client operates in complex, high-stakes business environments where decisions depend on large amounts of unstructured information, disconnected systems, and domain-specific knowledge. You'll help build an architectural intelligence layer that is agentic, modular, and domain-aware.
What you will do as an AI-Native Product Engineer...
Own Problems End-to-End: Take product problems from discovery to production with full ownership
User Understanding: Deeply understand user problems, workflows, and constraints to inform solutions
Fullstack Development: Design and build features across UI, backend, database, APIs, and integrations
AI Workflow Development: Build AI-powered workflows using LLMs, retrieval, agents, structured extraction, and tool use
Data Integration: Work with documents, data sources, and enterprise systems for comprehensive solutions
Rapid Iteration: Ship quickly, test with users, and iterate based on real feedback and usage patterns
Product Quality: Ensure quality across UX, performance, reliability, security, and maintainability
AI-Augmented Development: Use AI coding tools as part of daily workflow for accelerated delivery
Pattern Recognition: Turn repeated customer patterns into scalable product features
What we are looking for...
Fullstack Engineering: Strong skills with TypeScript, React, Next.js, Node.js, and Postgres
Shipping Track Record: Built and shipped real products end-to-end in production environments
Problem-to-Product: Can move from problem to working product without needing detailed specs
Ambiguity Tolerance: Comfortable with uncertainty and fast iteration cycles
UX Thinking: Think deeply about user experience, not just technical implementation
Architecture Focus: Care about clean architecture, good abstractions, and production reliability
AI Product Knowledge: Understand how modern AI products are built beyond simple prompting
Technical Breadth: Experience with APIs, data models, permissions, background jobs, and integrations
Product Judgment: Strong product sense with ability to challenge unclear requirements constructively
Communication: Clear communicator with both technical and non-technical stakeholders
Self-Direction: Highly self-directed with ownership mindset-acts without waiting to be told
Benefits and perks...
Category-Defining Product: Build the operating layer for AI-powered decision-making from the ground up
End-to-End Ownership: Full autonomy over product problems from discovery to production
AI-Native Environment: Work with cutting-edge AI capabilities-agents, LLMs, and structured intelligence
Startup Impact: Early-stage opportunity where your contributions directly shape the platform and company
Berlin-Based Team: Collaborative startup environment with engineering-first culture
