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.

Key responsibilities

• 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.

Required profile

• 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.

Required skills

• Next.js
• React
• Python
• PostgreSQL
• AWS
• Azure
• GCP
• Docker
• Kubernetes
• CI/CD
• ML/NLP
• Embeddings
• Vector databases
• RLHF
• Model serving
• Inference pipelines

What we offer

• Salary range: 80,000 to 130,000 EUR annually.
• Visa sponsorship is not available for this role.
• On‑site work in Munich, Bavaria, Germany; limited hybrid arrangements are not offered.