Full Stack Engineer

Join a fast-growing, self-funded AI platform startup based in Munich that is building the infrastructure enabling thousands of users to interact with AI every day. As a Full Stack Engineer, you will be a core contributor to the platform - owning features end-to-end, architecting scalable backend systems, and helping shape how businesses connect their data to AI workflows. This is a hybrid role based in Munich, Germany. Visa sponsorship is not available., * Build and ship high-quality full-stack features using TypeScript and React, with a strong focus on seamless user experience.

• Design and implement robust backend systems capable of handling massive data scale and millions of API requests.
• Take full end-to-end ownership of features - from concept and architecture through deployment and ongoing operation.
• Debug production incidents, identify root causes, and implement durable fixes.
• Synchronize and index terabytes of client data while managing fine-grained permissions.
• Operate and optimize systems that process millions of LLM calls per month with high reliability.
• Architect and scale environments that spawn thousands of secure code sandboxes per day.
• Build foundational infrastructure to enable rapid onboarding of custom integrations.
• Mentor junior engineers and raise the bar through thorough, constructive code reviews.
• Collaborate closely with AI integration and product teams to shape the user experience on the platform.

Must-have:

• 3+ years of professional software engineering experience delivering production full-stack applications using React, TypeScript, and PostgreSQL.
• Proven experience with Kubernetes-based deployment and container orchestration.
• Hands-on experience with Docker and CI/CD pipelines in production environments.
• Strong track record building and scaling backend services for high data volumes and millions of API requests, with a focus on reliability and security.
• Ability to own features completely - from design decisions through debugging live production issues.

Nice to have:

• Experience with Python, tRPC, or similar backend technologies.
• Familiarity with GenAI platforms or LLM integrations (e.g. OpenAI, Anthropic, or similar).
• Experience mentoring junior engineers or leading technical code reviews.
• Comfort working in a fast-paced, high-growth product environment.

• Salary: $60,000 - $80,000 per year
• Hybrid work arrangement - primarily based in Munich, Germany
• Work on a core platform with real daily user impact in the AI/ML space
• Small, collaborative team with strong engineering culture and direct influence on product direction