Applied AI Engineer – AI & Automation

jobr.pro

Berlin

Vor Ort

EUR 70.000 - 110.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Zusammenfassung

jobr.pro in Berlin, Germany seeks a hands-on software engineer to join a fast-growing AI & Automation team, building AI-powered automation for tax advisory workflows on-site in Berlin. Visa sponsorship is not available.

You'll design and implement automation infrastructure, translate accounting and tax processes into scalable software, and collaborate closely with founders and product leads to ship high-impact features with speed and reliability.

Qualifikationen

  • 3+ years of real-world AI in production (regulated industries preferred).
  • Proficiency with TypeScript and Python; able to ship clean, pragmatic code.
  • Experience building AI-powered automation that speeds real work.
  • Strong computer science fundamentals and maintainable code practices.
  • Genuine interest in accounting, finance, and process optimization.

Aufgaben

  • Design and build automation and infrastructure tooling for advisory workflows.
  • Translate complex accounting and tax processes into scalable AI-powered software.
  • Integrate systems across partner firms to create a unified platform experience.
  • Collaborate with founders, domain advisors, and product teams to ship features quickly.
  • Contribute to the technical architecture for speed, reliability, and scale.

Kenntnisse

AI in production
TypeScript
Python
CS fundamentals
Business understanding

Tools

DATEV

Jobbeschreibung

About the Role

This is a hands-on engineering role at the heart of a fast-growing, agentic-first tax advisory technology platform targeting the German SME market. You'll join a small, high-calibre AI & Automation team and work directly with founders and product leads to build the infrastructure that transforms how tax advisory firms operate — turning repetitive, manual processes into fast, reliable, AI-powered execution.

The platform sits at the intersection of regulated financial services and modern software engineering, giving you real-world exposure to complex domain problems where accuracy and compliance truly matter. This is an on-site role based in Berlin, Germany.

Please note: visa sponsorship is not available for this position.

What You'll Do
  • Design and build automation and infrastructure tools that eliminate repetitive work across accounting and advisory workflows.

  • Translate complex accounting, tax, and advisory processes into scalable, AI-powered software solutions.

  • Integrate systems and data across multiple partner firms to create a coherent, unified platform experience.

  • Collaborate closely with founders, domain advisors, and product teams to ship high-impact features quickly.

  • Contribute to shaping the technical architecture — ensuring the stack is built for speed, reliability, and long-term scale.

What We're Looking For

Must-haves:

  • 3+ years of experience applying AI in real-world, production contexts — ideally in regulated industries (finance, legal, tax, healthcare, or similar).

  • Strong proficiency in TypeScript and Python — you're comfortable shipping clean, pragmatic code in both.

  • Demonstrated experience building AI-powered automation that meaningfully accelerates real work — not just prototypes.

  • Solid computer science fundamentals and an instinct for clean, maintainable engineering.

  • Genuine interest in how businesses operate — accounting, finance, and process optimisation excite rather than intimidate you.

Nice to have:

  • German language proficiency (professional or native level) — particularly valuable given the domain and client base.

  • Familiarity with German tax advisory workflows, DATEV, or similar accounting infrastructure.

  • Experience at a consulting firm, fintech, or professional-services technology company.

Location

This role is on-site in Berlin, Germany. Candidates must be available to work from the Berlin office on a regular basis. Visa sponsorship is not available — candidates must have the right to work in Germany.

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