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
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Own the architecture and design of AI-powered systems end-to-end.
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Collaborate with other engineers across the full stack.
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Build data pipelines to process large-scale unstructured data efficiently.
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Deploy and manage software in cloud environments.
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Make the backend scalable, stable, and efficient.
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Develop scalable and reusable frontend components and API structures.
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Write clean, maintainable code with sensible testing practices.
What We're Looking For
Required:
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Minimum 2 years of full-time professional software engineering experience.
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Proficiency building end-to-end AI-powered web applications using Next.js / React on the frontend and Python on the backend.
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Demonstrated product-minded mindset with a track record of shipping complex web applications.
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Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.
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Strong experience with Docker and Kubernetes for containerization and deployment.
Nice to Have:
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Hands-on experience with ML/NLP technologies, including embeddings, vector databases, and RLHF, and deploying ML components in production.
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Experience with ML model serving and inference pipelines in production environments.
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Proficiency with PostgreSQL and relational data modeling.
Compensation & Benefits
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Salary: $90,000 – $200,000 USD annually, depending on experience.
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Opportunity to have significant impact at an early-stage, well-funded startup.
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Work alongside a senior team with backgrounds at leading research institutions and global consulting and technology firms.
Location
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On-site in Munich, Germany.
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Visa sponsorship is not available for this role.
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