Full-Stack Engineer
Company hidden until unlock
- Work model
- Onsite
- Location
- Munich
- Posted
- 5d ago
typescriptpythonreactnext.jsgraphqlpostgresawsgcpazurekubernetesdockerci/cd
Company hidden until unlock
ABOUT THE ROLE Join a fast-moving, product-focused engineering team building AI-powered software that automates sales workflows for distributors and manufacturers. As a Full-Stack Engineer, you'll own systems end-to-end — from architecture decisions to production deployment — and play a meaningful role in shaping the technical foundation of a growing B2B AI SaaS platform. WHAT YOU'LL DO - Own the architecture and design of AI systems, from initial concept through to production. - Collaborate across the full stack with a team of engineers to ship high-quality features. - Build data pipelines to process large-scale unstructured data efficiently. - Deploy and manage software in cloud environments, ensuring reliability and scalability. - Make the backend scalable, stable, and performant as the product grows. - Develop reusable components and well-structured API layers. - Write clean, maintainable code backed by sensible testing strategies. WHAT WE'RE LOOKING FOR - Proficiency building end-to-end AI-powered web applications with Next.js/React on the frontend and Python on the backend. - Strong TypeScript skills in frontend development. - Solid experience with PostgreSQL and relational data modeling. - Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices. - Strong experience with Docker and Kubernetes for containerization and deployment. - Experience designing and implementing scalable RESTful or GraphQL APIs. - Experience building and maintaining data pipelines for processing large-scale unstructured data. - Proven ability to own architecture and design decisions with clear documentation and code quality standards. - A product-minded mindset with a track record of shipping complex web applications. - Hands-on experience with ML/NLP technologies — including embeddings, vector databases, and RLHF — and deploying ML components in production is a strong plus. - Experience with ML model serving and inference pipelines in production is a plus. COMPENSATION & BENEFITS Salary range: €90,000 – €200,000 EUR annually. Visa sponsorship is not available for this role. LOCATION This is a fully on-site role based in Munich, Germany. No remote option is available.