- Clera
- Munich, BY
- Full-Time
- 26 days ago
- €80,000 – €130,000
Full-Stack Engineer.
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Full-Stack Engineer: our view in 3 lines...
- The Role:This role is for a full-stack engineer building AI-powered sales automation software for distributors and manufacturers.
- The Person:The person will design AI systems, build full-stack features, create data pipelines, deploy software in cloud environments, and improve backend scalability, stability, and performance.
- Requirements:The ideal candidate has Next.js/React, Python, TypeScript, PostgreSQL, AWS, Docker, Kubernetes, and experience with ML/NLP technologies.
About the role
About the Role
This is a hands-on, high-ownership engineering role at an early-stage AI startup building sales automation software for distributors and manufacturers. You'll work across the full stack to design and ship AI-powered systems that are core to the product, collaborating closely with a small, product-focused engineering team where your contributions have direct business impact.
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 fellow engineers across the full stack to deliver complex 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 performant.
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Develop reusable components and well-structured API layers.
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Write clean, maintainable code backed by sensible testing strategies.
What We're Looking For
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Proficiency building end-to-end AI-powered web applications with Next.js/React (frontend) and Python (backend).
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Strong experience with TypeScript in frontend development.
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Proficiency with PostgreSQL and relational data modeling.
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Experience designing and implementing scalable RESTful APIs for production web applications.
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Hands-on experience building and maintaining data pipelines for large-scale unstructured data.
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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 with ML/NLP technologies including embeddings, vector databases, and RLHF, with production deployment experience.
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Experience with ML model serving and inference pipelines in production environments.
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A product-minded mindset with a track record of shipping complex web applications.
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Ability to own architecture and design decisions with clear documentation and high code quality standards.
Compensation & Benefits
Salary range: €80,000 – €130,000 per year. Visa sponsorship is not available for this role.
Location
On-site in Munich, Bavaria, Germany. Remote work is not available for this position.
