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# AI & Backend Engineer

- **Company:** Clera
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, JIRA, Software as a Service, Cursor (Graphical User Interface Elements), Python (Programming Language), PostgreSQL, Next.js, Systems Integration, TypeScript, Enterprise Software Applications, ReactJS, Large Language Models, Prompt Engineering, Firebase, Backend, Fastapi, Kubernetes, Slack, Sentry, Machine Learning Operations, Zendesk, Docker
- **Published:** August 8, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=bfaa9a4b046d0acf

## About the Role

Must-haves:

 * 1-4 years of experience in backend or AI engineering (new grads with strong projects welcome).
 * Hands-on experience integrating with OpenAI models and prompt engineering.
 * Demonstrable experience building backend systems or AI pipelines to production.
 * At least foundational experience working with AI agents or agentic workflows.
 * Experience deploying and operating applications with Docker and Kubernetes.
 * Proficiency with Next.js, React, and TypeScript for full-stack development.
 * Experience with PostgreSQL and/or Firestore (GCP).
 * Eligibility to work in Germany (visa sponsorship is available).
 * Ability to work on-site in Munich, 5 days a week.

Strong signals we look for:

 * Hobby or side projects involving LLMs or related AI topics - we love seeing genuine curiosity in the space.
 * Heavy usage of AI coding agents (e.g., Codex, Claude Code, or Cursor), with concrete ideas or learnings on improving AI coding setups.
 * Experience designing end-to-end architectures and data/model pipelines.
 * Background at companies in the AI, SaaS, or enterprise software space.

## Description

We're a seed-stage B2B SaaS company building an AI support agent platform that helps technical B2B teams automatically resolve complex customer support tickets. Our product integrates deeply with tools like Zendesk, Jira, Slack, and Sentry, and is built on a modern stack including Python, FastAPI, Next.js, TypeScript, PostgreSQL, Firestore, Docker, and Kubernetes - with OpenAI models at the core of our AI capabilities., * Shape and implement full-stack product features across the entire stack.

 * Develop and enhance AI-powered capabilities, including agent workflows and model pipelines.
 * Collaborate with the team to plan, design, and launch new features at pace.
 * Help make internal workflows AI-native - you'll use and improve AI tooling as part of your daily work.


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