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.