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In this role, you will design and implement innovative AI features, owning the full lifecycle of customer-facing functionalities while determining technical direction and architecture decisions.
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Your role in the team
- Set the technical direction by owning the architecture decisions for the platform, from document ingestion to the chat UI.
- Write and review RFCs. The technical roadmap for the next two to three quarters is yours.
- Make the build-or-buy decisions: which models we use, and which retrieval and orchestration stack we build on.
- Turn a vague customer request ('show me where the bid deviates from the BoQ') into a scoped plan with the risks named.
- Raise the bar for the team by mentoring engineers: Review their designs and their code.
- Define the engineering standards. Find what slows the team down, in tooling or in the CI/CD pipeline, and fix it.
- Interview and hire engineers.
- You have no direct reports. You change decisions in product and in other teams with a written argument.
- Build and own end-to-end (AI) features by designing and implementing 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 by contributing 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 by helping 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 by extending 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.
Our expectations of you
Education
- Gedeihen Sie in einem kleinen, verantwortungsbewussten Team mit hohem Eigentumsanspruch und dem Antrieb, einen Einfluss zu haben.
Qualifications
- Übernehmen Sie die volle Verantwortung für die Lösung von Kundenproblemen durch die Konzeption und Implementierung von KI-Funktionen.
- Kommunizieren Sie fließend in Englisch sowohl in Wort als auch in Schrift.
- 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).
Experience
- Bring 6+ years of experience as a Staff (full-stack) software engineer or Technical Lead, in a fast-paced environment.
- Have proven experience delivering production-grade applied AI features to customers.
What we offer
- You'll join at a point when customer demand is proven, but our product and platform are still yours to shape.
- You will own customer-facing features end to end while building the foundations beneath them, from ingestion pipelines and workflow infrastructure to our construction ontology and project graph.
- As Kuro grows, you can grow with it, whether as a leading individual contributor, technical leader or people manager.
Topics you will work on
Job locations
About your employer
Kuro Technology GmbH is a Berlin-based startup specializing in Construction Tech. The company develops an intelligent project data system for the construction industry that helps general contractors utilize unstructured project data with AI. The aim is to minimize manual data processing in construction projects and make decisions faster and based on data.
- Startup
- Onsite
- Construction, Real Estate, Building Services
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