About the Role
We are a fast-growing, Y Combinator-backed SaaS startup operating at the intersection of AI and enterprise sales automation. Our platform helps distributors and manufacturers eliminate lost deals by automating quoting and order processing end-to-end — integrating directly with major ERP and CRM systems. We're a small, high-output team and we move fast.
We're looking for a Full-Stack Engineer with a founder mindset to build AI-powered systems end-to-end. This is a hands-on, high-agency role for someone who loves owning architecture decisions, shipping production-grade software, and working across the entire stack.
What You'll Do
- Own the architecture and design of AI systems from concept to production.
- Collaborate with a talented cross-functional engineering team across the full stack.
- Build robust data pipelines to process large-scale unstructured data efficiently.
- Deploy and manage software in cloud environments (AWS, Azure, or GCP).
- Make the backend scalable, stable, and performant.
- Develop scalable, reusable frontend components and API structures.
- Write clean, maintainable code with well-considered testing strategies (unit and integration).
What We're Looking For
Required:
- Proficiency building end-to-end AI-powered web applications using Next.js / React on the frontend and Python on the backend.
- Strong proficiency with TypeScript in frontend development.
- Demonstrated product-minded mindset with a track record of shipping complex web applications.
- Experience designing and implementing scalable RESTful APIs and API structures.
- Experience building and maintaining data pipelines for processing large-scale unstructured data.
- Proficiency with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.
- Strong hands-on experience with Docker and Kubernetes for containerization and deployment.
- Ability to own architecture and design decisions with clear documentation and code quality standards.
- Hands-on experience building and validating unit and integration testing strategies.
- No visa sponsorship required — candidates must be authorized to work in Germany.
Nice to Have:
- Hands-on experience with ML/NLP technologies, including embeddings, vector databases, and RLHF, with production deployments.
- Experience with ML model serving and inference pipelines in production environments.
- Proficiency with PostgreSQL and relational data modeling.
Compensation & Benefits
- Salary: €90,000 – €200,000 annually, depending on experience.
- Opportunity to have meaningful impact at an early-stage, high-growth company.
Location
- On-site in Munich, Germany. This role does not offer a remote or hybrid option.
- Visa sponsorship is not available — applicants must already be authorized to work in Germany.