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# Founding Engineer

- **Company:** Clera
- **Location:** München, Germany (Remote available)
- **Experience:** Experienced
- **Salary:** €80,000.0 - €120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Python (Programming Language), Performance Tuning, Systems Integration, Unstructured Data, Video Editing, Large Language Models, Fastapi, Data Lakes, Restful APIs, Data Pipelines
- **Published:** May 26, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=6f6c063c3eb6c73a

## About the Role

Do you have experience in Python?, Do you have a Master's degree?, Must-haves:

 * 3+ years of full-stack engineering experience
 * Strong proficiency in Python and hands-on experience building production-ready RESTful APIs with FastAPI in scalable systems
 * Deep experience designing and implementing video processing data pipelines and related video analytics workflows
 * Experience building data pipelines to convert large volumes of unstructured video data into structured, queryable formats
 * Hands-on experience integrating, fine-tuning, and deploying LLMs and VLMs in production pipelines
 * Familiarity with cloud infrastructure and deployment
 * Early-stage startup experience with a demonstrated ability to operate with high ownership and minimal process
 * Strong written and verbal communication skills; comfortable working in small, cross-functional teams

Nice to have:

 * Experience working directly with enterprise or B2B customers to scope and solve technical problems
 * Background in AI/ML automation for knowledge-work or professional services verticals

## Description

A seed-funded AI startup in Munich is looking for a Founding Engineer to join on-site and help build core product and technical infrastructure for enterprise customers. The company is focused on automating repetitive knowledge work by cloning expertise - enabling teams to unlock higher-value output. This is a founding-level role with significant ownership, equity, and direct impact on product direction., * Design and implement data pipelines to ingest, convert, and aggregate large volumes (1,000+ hours) of video and other unstructured data into a data lake

 * Integrate LLM and VLM pipelines into product workflows
 * Develop full-stack components using Python and FastAPI
 * Collaborate directly with customers (PE portfolio company teams) to map processes and identify automation opportunities
 * Support a land-and-expand go-to-market strategy by enabling scalable integrations


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