About the Role
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.
What You'll Do
- 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.
What We're Looking For
- 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.
Location
On-site, 5 days a week in Munich, Germany. Visa sponsorship is available.