About the Role
We're a fast-growing, technology-first financial services group building the operating system for the German tax advisory industry. Our platform combines AI-powered automation with deep accounting integrations to help tax firms dramatically improve productivity and service quality for their SME clients.
As an Applied AI Engineer on our AI & Automation team, you'll sit at the heart of this transformation — turning complex, regulated accounting and advisory workflows into scalable, reliable software. You'll work directly with founders and product teams to ship solutions that make a real difference across our network of partner firms.
What You'll Do
Build automation and infrastructure tooling that converts repetitive, manual work into fast and reliable execution.
Translate accounting and tax advisory processes into scalable, AI-powered software.
Integrate systems and data across multiple firms to create a coherent, unified platform.
Collaborate closely with founders, advisors, and product teams to design and ship high-impact features.
Help shape the overall technical architecture for speed, reliability, and scale.
What We're Looking For
Required
3+ years of experience applying AI in real-world, production contexts — ideally including regulated domains.
Strong proficiency in TypeScript and Python.
Proven track record building AI-powered automation that accelerates real workflows.
Solid computer science fundamentals with a pragmatic, clean coding style.
Genuine interest in how businesses operate — accounting, finance, and process optimisation.
Nice to Have
German language proficiency.
Domain knowledge in accounting, tax advisory, or financial compliance.
Background from or familiarity with consulting, finance, or legal-tech environments.
Location
On-site in Berlin, Germany — office presence is required.
No visa sponsorship available.
Compensation & Benefits
Compensation details are not listed for this role. You'll be joining an early-stage, well-backed team with meaningful equity upside and the opportunity to shape a category-defining product from the ground up.
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