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 https://jobeax.com/link/loHV96mj1WCmvOJk 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.
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Vollzeit
Mobiles Arbeiten
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