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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