Artificial Intelligence Engineer, commercetools

• You're a creative problem-solver who is wired to find solutions. You confidently dive into complex challenges and have a talent for making them simple for others
• Your curiosity drives you to constantly grow and contribute to an environment of trust and teamwork
• Great ideas come from many paths, and your unique perspective matters more than checking every box. What matters most is the mindset you bring to the work
• Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy and operate, not handed off at a layer boundary
• 5+ years shipping production software, 2+ building with LLMs in production (real users, not demos)
• Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). You've built against a generative/agent-driven UI protocol, not just consumed a REST API
• The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability
• Working fluency with retrieval/embeddings and SQL

Desirable

• Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people
• Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers.The kind of people who not only pioneered a more flexible approach to commerce architecture but also shaped the culture of experimentation that approach unlocked. Together they are the engine of commerce innovation today
• At commercetools, we power the next era of autonomous commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits
• Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own
• You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts
• You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty
• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols
• Ground models in real data: retrieval, embeddings, and feedback loops that actually close
• Treat evals as a first-class system - provable improvement, not vibes
• Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature