tl;dr

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Kuro is building the AI automation platform for the back-office of construction companies. Our applied AI product is already live at leading construction enterprises, delivering a 90% efficiency increase. We are looking for a founding AI engineer to help us build out our platform in Berlin.

Berlin, 80k€ +/- 20% (based on experience), 0.5% - 1.5% equity

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About Kuro

Kuro was founded by Lea & Jonas, who’ve built construction tech scale up alcemy and Capmo before. Kuro is building the AI automation platform for construction companies. We help construction professionals to utilize their biggest data source - the 95% of unstructured data. Our entry is in the estimation (quoting) process, the core and most expensive back office process. Our product extracts information from the project input, identifies building components automatically and enriches it back into a 3D model. Saving up to 90% time.

Leading construction enterprises with a combined construction volume >30 billion annually use Kuro already today.

We just raised a pre-seed round from the leading global construction tech VC and are looking to grow our team in Berlin. You would be one of our first hires - we’ve been early employees before. Joining an early stage startup was the best decision we ever took and we are excited to pay it forward.

Learn more: Join Kuro - Berlin

About the role

Your responsibilities

You will own and operate on improving and adding new features to our AI automation use cases. Each construction project from our customers consists of 300 - 3000 files ranging from PDFs, over drawing, scans etc. On top of these data we are builidng high impact automation or insight use cases that help our customers save days of work (e.g. one use case cuts down the workload from 5 days to 4 hours). Unlocking new levels of ROI and impact. Your job is to prototype, optimise and productionize these use cases for our customers.

You will be working closely with Jonas (CPTO) who owns tech and product.

Develop Customer-Focused Use Cases

• Prototype and deliver automation and insights use cases rapidly.
• Evaluate feasibility and ROI for customer-specific applications.

Optimize and Productionize Solutions

• Manage experimentation pipelines and perform error analysis.
• Oversee evaluations, scoring, and golden data set creation.

Enhance ML and Data Pipelines

• Continuously improve pipelines to support new and existing use cases

Refine Evaluation Processes