Clera

Full-Stack Engineer

Munich · Posted 3h ago

$90-200Kpermanentremote
Next.jsReactPythonTypeScriptPostgreSQLAWSAzureGCPDockerKubernetesRESTGraphQLMachine LearningNLP

Job Description

About the Role

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.

What We're Looking For

  • 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.

Compensation & Benefits

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

Location

This is a fully on-site role based in Munich, Germany. No remote option is available.