About the Role
This is a full-stack AI engineering role on a small, technical product and engineering team building AI-powered tools for construction professionals. You will own features end-to-end, from database schema and LLM integration through to UI, while also contributing to the internal platform foundations that let new use cases ship quickly.
What You'll Do
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Build and own end-to-end AI features from concept through production, including document versioning and agentic chat workflows.
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Design and implement features across the full development lifecycle: database schema, LLM tuning, evaluation, and UI.
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Manage evaluations, scoring, and error analysis on new and shipped AI features to ensure quality.
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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 earn 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 (PDFs, scans, drawings, and 3D models) at scale.
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Build read/write integrations with customer systems (document management, ERP) to complete workflows end-to-end.
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Contribute to scalable data pipelines and support native BIM/DWG file processing.
What We're Looking For
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3+ years of experience as a full-stack software engineer, ideally in fast-paced, early-stage B2B startup environments.
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Proven track record 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 and 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 equivalent.
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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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Experience building internal platform or developer-facing tooling that other engineers ship on top of.
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Full ownership mindset: comfortable designing and implementing solutions to customer problems end-to-end.
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Experience with workflow orchestration tools (Prefect, Airflow, or similar) is a plus.
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Experience with document processing, OCR, or multi-modal data ingestion is a plus.
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Experience with observability and monitoring tools (such as Datadog or Langfuse) is a plus.
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German language skills are helpful but not required; the team works in English.
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.