Full-Stack Engineer

Job details

Work model

Not provided by source

Salary

Not listed by source

Location

Munich

Job description

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 on Arbeitnow