Full-Stack Engineer

### 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. Find more [English Speaking Jobs in Germany](https://www.arbeitnow.com/english-speaking-jobs) on Arbeitnow