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Full-Stack Engineer

On-site
CleraSan Francisco, CA, US1 day agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

A Y Combinator-backed AI SaaS startup in the B2B distribution and manufacturing space is looking for a Full-Stack Engineer to build AI-powered systems end-to-end. This is a hands-on, high-ownership role for someone who thrives in fast-paced environments, brings a founder mindset, and has a track record of shipping complex web applications. You'll join a small, product-focused team working on CPQ (Configure, Price, Quote) automation for industries like construction supply chain, HVAC, electrical, and plumbing.

What You'll Do

  • Own the architecture and design of AI-powered systems.

  • Collaborate with other engineers across the full stack.

  • Build data pipelines to process large-scale unstructured data efficiently.

  • Deploy and manage software in cloud environments.

  • Make the backend scalable, stable, and efficient.

  • Develop scalable and reusable components and API structures.

  • Write clean, maintainable code with sensible test coverage.

What We're Looking For

Required:

  • Proficiency building end-to-end AI-powered web applications — Next.js/React on the frontend, Python on the backend.

  • Demonstrated product-minded approach with a track record of shipping complex web applications.

  • Strong experience with Docker and Kubernetes for containerization and deployment.

  • Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.

Nice to Have:

  • 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.

  • Proficiency with PostgreSQL and relational data modeling.

Location

This role is on-site in Munich, Germany. Visa sponsorship is not available — candidates must already have the right to work in Germany.

Compensation

Salary range: $90,000 – $200,000 USD annually, depending on experience and seniority.

Stack

PythonEmbeddingsVector DatabasesAWSGCPAzureCI/CDPostgreSQLReactMachine LearningKubernetesDockerNLPReinforcement LearningData Engineering
Posted
Unknown
Last seen
Jun 26, 2026
First seen
Jun 26, 2026
Status
active