Full-Stack Engineer

About the Role

This is a hands-on, high-ownership engineering role at an early-stage B2B AI SaaS company building automation tools for sales teams in distribution and manufacturing. You will work across the full stack to design, ship, and scale AI-powered systems that handle real-world enterprise workflows. The team is small, product-focused, and moves fast.

What You'll Do

• Own the architecture and design of AI systems end-to-end.
• Collaborate with other engineers across the full stack on complex product features.
• Build data pipelines to process large-scale unstructured data efficiently.
• Deploy and manage software in cloud environments.
• Make the backend scalable, stable, and efficient.
• Develop reusable components and well-structured API layers.
• Write clean, maintainable code with sensible test coverage.

What We're Looking For

• At least 2 years of full-time professional engineering experience; working-student or internship-only backgrounds do not qualify.
• Strong proficiency building end-to-end web applications with Next.js / React on the frontend and Python on the backend.
• Backend-capable full-stack profile; this is not a frontend-focused role.
• Experience designing scalable APIs and reusable backend structures.
• Proficiency with PostgreSQL and relational data modeling.
• Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.
• Strong experience with Docker and Kubernetes for containerization and deployment.
• Experience building data pipelines for large-scale unstructured data.
• 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.
• A product-minded approach with a clear track record of shipping complex web applications.
• Ability to clearly articulate prior engineering work, accomplishments, and technical decisions.

Compensation & Benefits

Salary range

80,000 to 130,000 EUR annually. Visa sponsorship is not available for this role.

Location

On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person on a full-time basis; limited hybrid arrangements are not offered.