Software Engineer - AI
tl;dr
- 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
- Curious about the bigger engineering challenge? Explore the vision and open problems at kuro.build .
About us
every day to automate workflows and make faster, better decisions
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
Current & 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
- Design the ontology v1 + graph schema: core construction entities, evidence links, and per-customer extension model
- Build out our workflow harness to run agentic workflows for customers
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
Your profile
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)
Why Kuro
The Process
- Talent Acquisition Call - Intro, motivation, logistics & fit (30 min)
- Impact Interview - Deep dive into your experience, ownership & impact (60 min)
- On-site Day
- System Design - Designing under ambiguity & LLM craft (60 min)
- AI-Native Coding - Hands-on coding with AI (45 min)
- Final Culture Interview (approx. 45 min)
- Reference calls
- Decision
Compensation: €80K - €140K • 0.05% - 0.2%
- • €80K - €140K • 0.05% - 0.2%
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