Full-Stack Engineer

About the Role

This is a hands-on, high-ownership engineering role at a fast-growing AI startup automating sales workflows for distributors and manufacturers. You'll build end-to-end AI-powered systems — from data pipelines and backend services to polished frontend experiences — and help shape the technical direction of the product from an early stage.

What You'll Do

• Own the architecture and design of AI systems, making key technical decisions with clear documentation and code quality standards.

• Collaborate across the full stack with a tight-knit team of engineers.

• Build and maintain data pipelines to process large-scale unstructured data efficiently.

• Deploy and manage software in cloud environments, ensuring reliability and scalability.

• Make the backend scalable, stable, and performant.

• Develop reusable frontend components and well-structured API layers.

• Write clean, maintainable code backed by thoughtful unit and integration testing strategies.

What We're Looking For

• Proficiency building end-to-end AI-powered web applications with Next.js/React and TypeScript on the frontend and Python on the backend.

• Strong experience with Docker and Kubernetes for containerization and deployment.

• Hands-on experience with cloud platforms ( AWS, Azure, or GCP ) and modern CI/CD practices.

• Experience designing and implementing scalable RESTful APIs for production web applications.

• Proficiency with PostgreSQL and relational data modeling.

• A product-minded approach with a demonstrable track record of shipping complex web applications.

• Experience building and validating testing strategies, including unit and integration tests.

• Hands-on experience with ML/NLP technologies — including embeddings, vector databases, and RLHF — and deploying ML components in production.

• Experience with ML model serving and inference pipelines in production environments is a plus.

Compensation & Benefits

Salary range: €90,000 – €200,000 per year. Visa sponsorship is not available for this role.

Location

On-site in Munich, Bavaria, Germany . No remote option.