### About the Role A fast-growing, Y Combinator-backed B2B SaaS startup in the AI-powered sales automation space is looking for a Full-Stack Engineer to build AI systems end-to-end. This is a hands-on, high-ownership role for someone with a founder mindset who thrives in a fast-paced environment and loves shipping complex, production-grade web applications. You'll be a core part of a small, product-focused engineering team delivering scalable, AI-powered software to distributors and manufacturers across industries like construction supply chain, HVAC, electrical, and plumbing. ### What You'll Do - Own the architecture and design of AI systems from concept to production. - Collaborate with other engineers across the full stack. - 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 scalable and reusable components and API structures. - Write clean, maintainable code with sensible testing practices. ### What We're Looking For Required: - Proficiency in building end-to-end AI-powered web applications using Next.js/React on the frontend and Python on the backend. - Demonstrated product-minded mindset with a track record of shipping complex web applications. - Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices. - Strong experience with Docker and Kubernetes for containerization and deployment. Nice to Have: - 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. - Proficiency with PostgreSQL and relational data modeling. ### Compensation & Benefits - Salary: $90,000 – $200,000 USD annually, depending on experience. - Opportunity to have significant technical impact at an early-stage, well-funded startup. - Note: Visa sponsorship is not available for this role. ### Location This is a fully on-site role based in Munich, Germany. Candidates must be able to work on-site and be authorized to work in Germany.