Founding Forward Deployed Engineer

Kuro Technology; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Kuro Technology in Berlin is looking for a Software Engineer or Data Scientist to own AI automation use cases and work directly with enterprise stakeholders. The role involves building solutions using modern AI technologies, designing data pipelines, and influencing the tech stack.

The ideal candidate has 2+ years of relevant experience and speaks C1 German. This position offers the chance to shape high-impact projects in an early-stage company and requires a proactive, ownership-oriented approach.

Qualifikationen

• 2+ years of experience as a software engineer or data scientist.
• Comfortable owning problems end-to-end.
• Able to speak C1 German or better.

Aufgaben

• Take ownership of new AI automation use cases from start to finish.
• Build with applied AI technologies to solve high-impact problems.
• Design data pipelines for ingestion and validation.

Kenntnisse

Software engineering

Data science

Customer interaction

Applied AI

Problem-solving

Tools

Typescript

Python

AWS

Jobbeschreibung

The Opportunity

You'll own new AI automation use cases end-to-end - from understanding the customer's world to shipping production-ready solutions on Kuro's platform within weeks. This is not a pure backend role, and not classic consulting either. It's a high-ownership position where you work directly with enterprise stakeholders to build something real.

What You’ll Do

• Turn ambiguous customer problems into scoped, buildable solutions — then ship them
• Build with modern applied AI (LLMs, agentic workflows, vision models, embeddings, heuristics) to solve high-impact problems
• Design data pipelines for document ingestion, extraction, validation, and orchestration on top of Kuro's platform abstractions
• Identify recurring patterns across projects and codify them into reusable templates
• Balance speed, accuracy, and pragmatism — and know when to keep a human in the loop
• Help shape the technical direction of both the product and the company

As one of our first forward deployed engineering hires, you'll have significant influence on how we build, what we build, and how fast we move.

Past Projects You Would Have Been Part Of

• LLM extraction agent for interior estimation
  Built a PoC that extracts quantities from unstructured documents, saving ~4 days of work per project.
• Subcontractor KYC automation
  Developed an internal app to automate KYC checks, reducing manual effort by ~50%.
• LLM-based Bill of Quantities parsing
  Created a parser that structures complex BoQs automatically, saving hours per day for procurement managers.
• Construction ontologies with enterprise customers
  Co-developed interior and shell construction ontologies that power downstream AI automation.

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 / Vite
• Cloud Functions: Supabase
• Database / Vector DB and File Storage: Supabase (postgress) / Weaviate / AWS S3
• Backend (Document Pipelines & applied AI): Fastify API / TS + Python for ML Services
• Hosting: Railway (Moving to AWS)
• AI: Azure / OpenAI, Gemini, Cohere
• Obsv., Eval. & Tracking: Langfuse, Datadog

Your profile

This role is ideal for a hungry and talented software engineer or data scientist seeking close customer exposure in an early-stage company building a high-impact applied AI product. You enjoy taking ownership, moving fast, and building things end-to-end.

• Have 2+ years of experience as a software engineer or data scientist
• Are comfortable owning problems end-to-end
• Thrive in ambiguous, fast-moving environments
• Are pragmatic and biased toward action
• Enjoy working directly with customers and like to visit them on site
• Are excited about applied AI, not just theory
• Can clearly explain trade-offs and decisions
• You are at least able to speak C1 german

Bonus Points

• Experience in early-stage startups or founding teams
• Prior experience with customer-facing roles
• Experience with unstructured data and ontologies