Founding Engineer

2 hours ago

Berlin, GermanyMid Level

Responsibilities

Build and operate document intelligence systems for extracting, classifying, and processing accounting and tax documents.
Design retrieval and knowledge systems across tax law, internal knowledge bases, client histories, and firm-specific data.
Build agentic workflows and AI-driven automation for complex, multi-step accounting and tax processes.
Develop prediction and suggestion systems for booking proposals, anomaly detection, classification, and intelligent recommendations.
Build and maintain data pipelines and infrastructure for AI and ML workflows.
Design evaluations, monitoring, observability, and feedback loops for production AI systems.
Take AI capabilities from experimentation through deployment and continuously iterate based on real-world performance.
Collaborate with engineers, operators, and tax professionals to translate domain workflows into AI solutions.

At least 3 years of hands-on experience shipping ML, LLM, or AI-based systems into production.
Hands-on production experience with LLMs, retrieval systems, or AI agents.
Experience building document intelligence systems for extraction, classification, and understanding of unstructured documents.
Strong software engineering discipline, including testing, reliability, maintainability, and observability in AI systems.
Experience designing evaluation frameworks and monitoring systems for AI in production.
Experience designing and implementing data pipelines for ML and AI workflows.
A track record of taking AI capabilities from prototype through production with iteration cycles.
Experience in high-stakes domains where reliability and auditability are critical.
Strong product intuition and ability to turn vague problems into pragmatic technical solutions.
Prior exposure to accounting, tax, or financial domain workflows is a strong plus.
Experience building agentic or multi-step AI automation systems is a plus.