About this role
Italy - Remote. This AI Engineer role at Sibill involves building production AI products to simplify financial operations for small and medium enterprises, suiting professionals with strong ML fundamentals and software development experience.
Role Overview
Sibill is hiring an AI Engineer to join its remote team in Italy. The selected candidate will report directly to the head of AI and collaborate daily with data, engineering, infrastructure, product, and design teams. The position focuses on leveraging critical business data—such as cash flows, bank transactions, invoices, and general ledger records—to solve practical customer problems within the company's financial operating system.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Sibill is redefining the financial operating system for small and medium enterprises and accounting firms in Italy by unifying invoicing, payments, treasury, and accounting. The company supports over 5,000 businesses and secured a €12 million Series A funding round in 2025 led by Creandum, alongside investments from Keen Venture Partners, Exor Ventures, and Founders, bringing total capital raised to €18.7 million.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the AI Engineer position located?
The position is fully remote with the requirement of residing in Italy. Onboarding requires a few weeks in Milan.
What is the salary range for this role?
The annual gross salary (RAL) ranges from 60,000 € to 80,000 €, based on experience.
What educational background is required?
A master's degree or Ph.D. in Computer Science, Data Science, Engineering, Mathematics, or another STEM discipline is required.
What languages must the candidate speak?
Candidates must speak both Italian and English fluently.
What does the interview process look like?
The selection process includes a chat with the HR Manager, a 30-minute meeting with the CTO and Head of AI, a 45-minute technical interview, a group session with key engineering, data, and product team members, and a final 45-minute discussion with the CEO and Chief Product Officer.
