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# Full-Stack Engineer

- **Company:** Clera
- **Location:** München, Germany
- **Salary:** €90,000.0 - €200,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Continuous Integration, Relational Databases, Python (Programming Language), PostgreSQL, Machine Learning, Next.js, Strategies of Testing, TypeScript, Unstructured Data, Web Applications, Cloud Platform System, ReactJS, Backend, Containerization, Graphql, Front End Software Development, Restful APIs, Data Pipelines, Docker
- **Published:** August 25, 2026
- **Apply:** https://www.adzuna.de/details/5853759134

## About the Role

* 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.

## Description

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.


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