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This is a full-stack engineering role sitting at the intersection of product and AI, on a small, fast-moving team building intelligent customer support agents for B2B companies. You'll own features end-to-end — from architecture to production — and directly shape how AI-powered systems evolve to handle complex, technical support workflows at scale.
Design and implement full-stack product features across the entire codebase.
Build and improve AI capabilities, including LLM pipelines, agent logic, and prompt engineering.
Collaborate with the team to plan, design, and ship new features iteratively.
Help make internal processes AI-native by identifying and applying agentic tooling where it adds value.
1–4 years of experience in backend or AI engineering (new grads with strong fundamentals are welcome).
Proven track record shipping backend systems or AI features to production.
Hands-on experience integrating OpenAI models and engineering prompts for real-world tasks.
Experience designing end-to-end architectures and building AI-powered data or model pipelines.
Proficiency with Next.js, React, and TypeScript for full-stack development.
Familiarity with Python and FastAPI on the backend.
Experience with PostgreSQL and/or Firestore (GCP).
Comfortable deploying and operating applications with Docker and Kubernetes.
Active, heavy user of AI coding agents (e.g., Codex, Claude Code, or Cursor) with genuine ideas or demonstrated improvements to your own agentic dev setup.
Personal hobby projects or self-directed exploration involving LLMs or related AI topics.
On-site, 5 days a week in Munich, Germany. Visa sponsorship is available.
