Full-Stack Engineer

Clera
München, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€90,000.0 - €200,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+13 more
Strategies of Testing TypeScript Unstructured Data Web Applications Cloud Platform System ReactJS Backend Containerization Graphql Front End Software Development Restful APIs Data Pipelines Docker

Job 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.

Requirements

  • 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.

About the company

Clera Munich, Bavaria €90,000 - €200,000 Vollzeit

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