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Full-Stack Engineer

Technologie
EngRadar
München, DeutschlandVor 2 Monaten
Teilzeit

Stellenbeschreibung

EngRadar / Clera

Full-Stack Engineer

Clera A well-funded, early-stage B2B SaaS startup building self-improving conversational agents that run product demos 24/7.

Munich Full-time Posted today sales automationai

Apply directly →

About The Role

This is a hands-on, high-ownership engineering role at a fast-growing AI startup automating sales workflows for distributors and manufacturers. You'll build end-to-end AI-powered systems — from data pipelines and backend services to polished frontend experiences — and help shape the technical direction of the product from an early stage.

What You'll Do

  • Own the architecture and design of AI systems, making key technical decisions with clear documentation and code quality standards.
  • Collaborate across the full stack with a tight-knit team of engineers.
  • Build and maintain 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.
  • Develop reusable frontend components and well-structured API layers.
  • Write clean, maintainable code backed by thoughtful unit and integration testing strategies.

What We're Looking For

  • Proficiency building end-to-end AI-powered web applications with Next.js/React and TypeScript on the frontend and Python on the backend.
  • Strong experience with Docker and Kubernetes for containerization and deployment.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.
  • Experience designing and implementing scalable RESTful APIs for production web applications.
  • Proficiency with PostgreSQL and relational data modeling.
  • A product-minded approach with a demonstrable track record of shipping complex web applications.
  • Experience building and validating testing strategies, including unit and integration tests.
  • 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 is a plus.

Compensation & Benefits

Salary range: €90,000 – €200,000 per year. Visa sponsorship is not available for this role.

Location

On-site in Munich, Bavaria, Germany. No remote option.

Posted by Clera on their own careers page — you apply directly, no recruiter in between. View original / apply →

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Keywords
ReactOSOCamlScalabilityTypescriptDEMOSJavaScriptPostgresqlPythonRelational grammarCI / CDAWSDockerKubernetesReact.jsCI/CD

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