Overview
About the Role This is a hands-on, high-ownership engineering role at an early-stage B2B AI SaaS company building automation tools for sales teams in distribution and manufacturing. You will work across the full stack to design, ship, and scale AI-powered systems that handle real-world enterprise workflows. The team is small, product-focused, and moves fast. What You'll Do Own the architecture and design of AI systems end-to-end. Collaborate with other engineers across the full stack on complex product features. 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 reusable components and well-structured API layers. Write clean, maintainable code with sensible test coverage. What We're Looking For At least 2 years of full-time professional engineering experienc
Full job description
Full Job Description
About the Role
This is a hands-on, high-ownership engineering role at an early-stage B2B AI SaaS company building automation tools for sales teams in distribution and manufacturing. You will work across the full stack to design, ship, and scale AI-powered systems that handle real-world enterprise workflows. The team is small, product-focused, and moves fast.
What You'll Do
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Own the architecture and design of AI systems end-to-end.
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Collaborate with other engineers across the full stack on complex product features.
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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 reusable components and well-structured API layers.
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Write clean, maintainable code with sensible test coverage.
What We're Looking For
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At least 2 years of full-time professional engineering experience; working-student or internship-only backgrounds do not qualify.
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Strong proficiency building end-to-end web applications with Next.js / React on the frontend and Python on the backend.
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Backend-capable full-stack profile; this is not a frontend-focused role.
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Experience designing scalable APIs and reusable backend structures.
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Proficiency with PostgreSQL and relational data modeling.
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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.
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Experience building data pipelines for large-scale unstructured data.
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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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A product-minded approach with a clear track record of shipping complex web applications.
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Ability to clearly articulate prior engineering work, accomplishments, and technical decisions.
Compensation & Benefits
Salary range: 80,000 to 130,000 EUR annually. Visa sponsorship is not available for this role.
Location
On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person on a full-time basis; limited hybrid arrangements are not offered.
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Verification notes
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