About the Role
This is a full-stack AI software engineering role on a 15-person product and engineering team building AI-powered tools for construction professionals. You will own end-to-end AI features from concept through production while also contributing to the platform foundations that make new use cases fast to ship. Your work will shape both customer-facing experiences and the infrastructure beneath them.
What You'll Do
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Build and own end-to-end AI features including document versioning and agentic chat workflows, from database schema through to UI.
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Manage evaluations, scoring, and error analysis on new and shipped AI features to maintain quality in production.
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Contribute to the workflow harness, decision-trace standard, and evaluation tooling that accelerates shipping new use cases.
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Build reusable human review and approval surfaces that build trust in AI output.
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Model and evolve a construction domain ontology and project graph, including entity resolution across documents such as bills of quantities, contracts, and drawings.
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Design features that link answers to evidence and make decisions auditable and traceable.
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Extend multi-modal ingestion of unstructured documents including PDFs, scans, drawings, and 3D models at scale.
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Build read/write integrations with customer systems such as document management platforms and ERPs.
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Contribute to scalable data pipelines and support native BIM and DWG file processing.
What We're Looking For
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3 or more years of experience as a full-stack software engineer delivering production-grade applied AI features to customers.
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Proficiency with TypeScript, Python, and SQL for building full-stack applications.
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Experience building backend APIs and database schemas using frameworks such as Fastify, Prisma, or equivalents.
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Experience integrating and optimizing LLM APIs (OpenAI, Azure, Gemini, Cohere, or similar).
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Experience with cloud infrastructure such as AWS (RDS, S3, Elastic Beanstalk) or equivalents.
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Experience building data pipelines and ETL workflows for processing unstructured data at scale.
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Experience with vector databases and semantic search implementations.
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Experience designing and implementing evaluation frameworks and error analysis for AI systems.
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A track record of building internal platform or developer-facing tooling that other engineers ship on top of.
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B2B product experience in a startup or early-stage company environment.
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Fluent spoken and written English; German is a bonus but not required.
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Nice to have: experience with workflow orchestration tools (Prefect, Airflow, or similar), document processing or OCR, and observability tools (Datadog, Langfuse, or similar).
Compensation & Benefits
Salary range: 80,000 to 120,000 EUR annually. Visa sponsorship is not available for this role.
Location
On-site, five days per week in Berlin, Germany. Candidates must be based in Berlin or willing to relocate.
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