Full-Stack Engineer
About the Role
A fast-growing, product-focused AI startup in the enterprise sales automation space is looking for a Full-Stack Engineer to build AI-powered systems end-to-end. This is a hands-on, high-ownership role suited to engineers with a founder mindset who thrive in a fast-paced environment and take pride in shipping complex, scalable web applications.
You'll be joining a small, senior team building intelligent software that automates quoting and order processing workflows for distributors and manufacturers - integrating with major ERP and CRM systems and leveraging cutting-edge ML/NLP technology.
What You'll Do
Own the architecture and design of AI-powered systems end-to-end.
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 frontend components and API structures.
Write clean, maintainable code with sensible testing practices.
What We're Looking For
Required:
Minimum 2 years of full-time professional software engineering experience.
Proficiency 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 impact at an early-stage, well-funded startup.
Work alongside a senior team with backgrounds at leading research institutions and global consulting and technology firms.
Location
On-site in Munich, Germany.
Visa sponsorship is not available for this role.
