Software Engineer - AI
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
Build and own end-to-end AI features including document versioning and agentic chat workflows, from database schema through to UI.
Manage evaluations, scoring, and error analysis on new and shipped AI features to maintain quality in production.
Contribute to the workflow harness, decision-trace standard, and evaluation tooling that accelerates shipping new use cases.
Build reusable human review and approval surfaces that build trust in AI output.
Model and evolve a construction domain ontology and project graph, including entity resolution across documents such as bills of quantities, contracts, and drawings.
Design features that link answers to evidence and make decisions auditable and traceable.
Extend multi-modal ingestion of unstructured documents including PDFs, scans, drawings, and 3D models at scale.
Build read/write integrations with customer systems such as document management platforms and ERPs.
Contribute to scalable data pipelines and support native BIM and DWG file processing.
What We're Looking For
3 or more years of experience as a full-stack software engineer delivering production-grade applied AI features to customers.
Proficiency with TypeScript, Python, and SQL for building full-stack applications.
Experience building backend APIs and database schemas using frameworks such as Fastify, Prisma, or equivalents.
Experience integrating and optimizing LLM APIs (OpenAI, Azure, Gemini, Cohere, or similar).
Experience with cloud infrastructure such as AWS (RDS, S3, Elastic Beanstalk) or equivalents.
Experience building data pipelines and ETL workflows for processing unstructured data at scale.
Experience with vector databases and semantic search implementations.
Experience designing and implementing evaluation frameworks and error analysis for AI systems.
A track record of building internal platform or developer-facing tooling that other engineers ship on top of.
B2B product experience in a startup or early-stage company environment.
Fluent spoken and written English; German is a bonus but not required.
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.