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Full-Stack Engineer

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Summary

Full-stack engineer at an early-stage B2B AI SaaS startup in Munich building AI automation tools for sales teams in distribution and manufacturing. You'll own AI system architecture end-to-end: Python backend with Next.js/React frontend, data pipelines, PostgreSQL, and cloud deployment with Docker/Kubernetes. On-site role paying €80k–130k; no visa sponsorship.

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.

Skills

See also

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