After 14 years in construction tech, Lea & Jonas are building the AI foundation for the construction industry
Leading European construction enterprises with >€40bn in combined annual construction volume already rely on Kuro every day
Construction has some of the most complex, unstructured data you can throw at an LLM. At Kuro, you can tackle some of the hardest problems in applied AI every day
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 building the AI foundation 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. We are not pursuing marginal improvements, but a step change for construction.
After one year on the market, leading construction enterprises with a combined annual construction volume of >€40 billion use Kuro every day to automate workflows and make faster, better decisions. Backed by an €8 million seed round, we already process more than 1 million pages every month and expect that volume to grow 10x over the next six months.
We are 15 people based in Berlin. You will join a group of technical ex-founders and builders who are ambitious and kind.
Learn more: Join Kuro - Berlin
Build and own end-to-end (AI) features
Design and implement new features to solve a specific user problem, such as document versioning or our agentic Chat.
From concept to DB schema, to optimizing LLMs, to UI. Own the full development lifecycle of customer-facing features.
Manage evaluations and scoring, and perform error analysis on new and shipped AI features.
Build the platform that abstracts workflow building
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
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, and 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
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
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
Developed use cases like mapping 3D-model metadata using LLMs
Current projects
Design the ontology v1 + graph schema: core construction entities, evidence links, and per-customer extension model
Develop systems to classify and organize project folders of 10,000+ files
Build out our workflow harness to run agentic workflows for customers
Optimize queuing, logging, and pipeline orchestration to process large document volumes
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: AWS RDS / Trubopuffer / AWS S3
Backend: Fastify API + Prisma ORM
Workflow Orchestrator: Prefect (Python)
Hosting: AWS Elastic Beanstalk
AI: Azure / OpenAI, Gemini, Cohere, AWS
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
Bring 3+ years of experience as a (full-stack) software engineer in a fast-paced environment
Have proven experience delivering production-grade applied AI features to customers
Take full ownership of solving customer problems by designing and implementing AI features
Thrive in a small, accountable team with a high degree of ownership and a drive to make an impact
Communicate fluently in both spoken and written English
Enjoy working onsite with the team at our office in Factory Berlin Mitte every day
Bonus Points
You’ve started a company before or worked at a very early stage startup
You built side projects in the past - we’re excited to hear about these!
German-speaking (definitely not a must, we’re fully international)
You’ll join Kuro while we are still early enough to have significant influence over both our product and how we build it. You’ll own customer-facing features end-to-end while helping shape the data platform they stand on - from ingestion pipelines to the construction ontology and project graph.
Each customer project consists of 300–10,000 files: PDFs, construction drawings, scans and 3D models. Turning this unstructured data into a reliable, well-structured project graph is the foundation for everything we build - from the accuracy of our AI features to user experience and customer ROI.
Your decisions and code will lay foundations that last, requiring you to balance fast iteration and immediate customer value with technical debt and scale.
As Kuro grows, you’ll have the freedom to grow with it - whether as a top individual contributor or by taking on management responsibilities over time.
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
