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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