Full Stack Engineer

📋 Description

• • Join a small, product-focused team at a bootstrapped AI platform and consulting studio based in Munich, Germany.
• • You'll be a core contributor to the platform that enables thousands of users to interact with AI every day — building high-quality full-stack features and the scalable backend systems that power them.
• • From synchronizing large client datasets and running massive LLM workloads to architecting secure sandboxed environments, you'll own meaningful, high-impact work end to end.
• • This is a hybrid role based in Munich.
• • Build and ship high-quality full-stack features using TypeScript and React, focused on a seamless user experience.
• • Design and implement robust backend systems capable of handling massive data scale and millions of API requests.
• • Take full ownership of features from concept and deployment through to production operation, ensuring reliability and security.
• • Debug production incidents, identify root causes, and implement lasting solutions.
• • Mentor junior engineers and elevate the codebase through thorough, constructive code reviews.
• • 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 that enables rapid onboarding of custom integrations.
• • Shape how users interact with the platform by working across the core stack and AI integrations.
• • Must-haves:
• • 3+ years of professional software engineering experience delivering full-stack features with React, TypeScript, and PostgreSQL.
• • Proven experience with Kubernetes-based deployment and container orchestration.
• • Hands-on experience building and running production-grade backend services at scale — high data volumes, millions of API requests, with a focus on reliability and security.
• • Comfortable working in Dockerized environments with robust CI/CD pipelines.
• • End-to-end product ownership mindset: from concept through deployment to live operation.
• • Strong debugging skills and experience resolving production incidents.
• • Nice-to-haves:
• • Experience with backend technologies such as Python or tRPC.
• • Experience working with GenAI platforms or LLM integrations.
• • Track record of mentoring junior engineers and leading code reviews.
• • Familiarity with high-throughput distributed services.
• • You'll thrive here if you:
• • Care deeply about user experience and long-term product quality.
• • Learn quickly and enjoy operating in a fast-paced, high-growth environment.
• • Take pride in production ownership and have a strong instinct for reliability and security.
• • Compensation & Benefits:
• • Salary: €60,000 – €80,000 per year, depending on experience.
• • Agile, collaborative team culture with a strong emphasis on engineering quality.
• • Direct impact on a platform used by thousands of users daily.
• • Work at the intersection of AI and enterprise software in a growing market.
• • Location:
• • This is a hybrid position based in Munich, Germany.
• • Candidates should be located in or willing to relocate to Munich.
• • Remote-only arrangements are not supported.