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.