After 14 years in construction tech, Lea & Jonas are building the intelligence layer for the construction industry
The largest construction enterprises in Europe — with a combined project volume of over €30bn annually — rely on Kuro every day to automate workflows and make faster, better decisions
Construction has the most complex, unstructured data you can throw at an LLM — PDFs, drawings, 3D models, images, calculations. At Kuro you can tackle the hardest applied AI problems everyday.
Lea and Jonas scaled two of Europe's leading construction tech companies - Capmo and alcemy - and saw firsthand the challenges holding the industry back. Now they're tackling the root cause: the 50% of construction work still lost to manual data handling.
Kuro is the the intelligent project data system for construction. We're reimagining how construction professionals get work done and make decisions by leveraging AI to augment back-office workflows and make core data accessible.
After one year on the market leading construction enterprises with a combined construction volume >30 billion annually use Kuro everyday to automate workflows and make faster, better decisions.
We are 16 people based in Berlin. You will join a group of ex-technical founders and builders that are ambitious and kind.
Learn more: Join Kuro - Berlin
You will build and own customer-facing features end-to-end — and alongside that, work with the team on the data platform they stand on: ingestion pipelines, the construction ontology and the project graph.
Each customer project consists of 300 - 3,000 files: PDFs, construction drawings, scans, 3D models. Performant ingestion and a well-structured graph are the foundation for everything we are building — accuracy, ROI and user experience.
Build and own end-to-end features
Designing and implementing new features to solve a specific user problem such as file navigation or document highlighting
From concept, to db schema to UI - own the full development lifecycle of customer-facing use cases
Manage our web application & APIs
Work on the construction ontology & project graph
Help model and evolve canonical entities of our customers
Contribute to entity resolution across sources: recognizing the same requirement, position or price across BoQs, contracts, drawings and bids
Build features so answers are evidence-linked and auditable, and decisions flow back into the graph
Contribute to scalable data pipelines & integrations
Extend our multi-modal ingestion of unstructured documents — PDFs, scans, drawings, 3D models. Orchestrated and cost-efficient at scale
Build read/write integrations with customer systems (document management, ERP/AVA), so workflows complete work end-to-end
Help build the abstraction layers that turn use cases into a platform
Contribute to the workflow harness, decision-trace standard and eval tooling so a new use case ships in ~1 month
Build reusable human review & approval surfaces where trust in AI output is earned
Projects you would be involved in
Past projects
Project & document versioning guaranteeing data lineage in construction projects
German tokenizer for construction-specific search
Document pipeline ingesting 10,000s of PDFs per day
Native BIM/DWG file support: ingesting and processing 3D models and CAD drawings
Swapped the search engine under production load (Meilisearch Turbopuffer) to unblock pipeline throughput and cut query latency
Document chunk highlighting in the PDF viewer and global document search via Fastify API
Current projects
Design the ontology v1 + graph schema: core construction entities, evidence links, per-customer extension model
Develop systems to classify and organize project folders of 10,000+ files
Optimize queuing, logging and pipeline orchestration to process large document volumes
Templatize a workflow built for one project so it deploys to the next as configuration, not code
Current Tech Stack
It is still day 0 for Kuro. Therefore we are highly pragmatic with our tool choices. We believe in keeping it simple and moving quickly. You significantly help shape our tech stack decisions.
Web-App: Typescript
Database / Vector DB and File Storage: Supabase (postgress) / Trubopuffer / AWS S3
Backend (Document Pipelines & applied AI): Fastify API / TS + Python for ML Services
Hosting: AWS Elastic Beanstalk
AI: Azure / OpenAI, Gemini, Cohere
Obsv., Eval. & Tracking: Langfuse, Datadog
This is the perfect role for an experienced engineer who wants to join an early stage company that builds a high impact applied AI product
You thrive working in a small and accountable team with a lot of ownership
You love the 0 to 1 phase
You want to take full ownership in solving customer problems by designing and implementing features
You are passionate about the potential of GenAI, a strong believer in its transformative power, and eager to explore how it can be applied to solve real-world challenges in the construction industry
You have at least 5+ years of experience as a (full-stack) software engineer in a fast paced environment
You are fluent in both spoken and written English
You are happy to work onsite at our office (Factory Berlin Mitte) on a daily basis
You have impressive achievements from previous careers and from side projects. We’re excited to hear about these!
Bonus Points
You’ve started a company before or worked at a very early stage startup
German-speaking (definitely not a must, we’re fully international)
You are joining Kuro among still in the early days . You will have significant influence over our product and how we build it and will be incentivised as such.
Your decisions and code will lay the foundation for Kuro, requiring a balance between fast iteration and delivering value to our customers, managing technical debt, and planning for scale.
You’ll own key parts of Kuro end-to-end, with the freedom to grow as a top individual contributor or take on managerial responsibilities over time. This is your chance to shape the future of Kuro.
Talent Acquisition Call - Intro, logistics & fit (30 min)
Impact Call - Get to know Product and Tech at Kuro with Jonas (45 min)
Technical Challenge - time boxed home assignment (~5 hours)
Technical Challenge Review (60min)
On-site Day
Decision
Compensation Range: €80K - €120K
