AI Engineer

Náplň práce, právomoci a zodpovednosti:
Kick-start your AI career with real projects, global impact, and a team that helps you grow.

About the Role
This isn't about building AI for the sake of it - you'll create solutions that actually matter. From leveraging AI to read complex documents to building AI assistants that make everyone's job easier, your work will directly impact how one of the world's leading reinsurance companies operates.

What You Will Work On
Here's a taste of what you could be building:
• Smart document processing engines that automatically extract key information pieces in seconds – work that would take humans hours to complete manually
• AI assistants and agents that summarize complex texts, check if they follow company guidelines, and speed up workflows across the business
• Next-gen evaluation tools that help us understand how well our AI products are performing and ensure they're reliable enough for real-world use
• Powerful data pipelines that can process large amounts of messy, real-world information

The best part? You won't just be coding in isolation. You'll work alongside experienced team members and business partners to understand the problems we're solving and why they matter.

About the Team
We're Swiss Re's biggest data science team – a friendly, ambitious group building AI solutions used across the entire company. Think of us as an internal AI startup: we work with teams all over the world to design and deliver tools that make their everyday work smarter and faster.
Our products are created right here in Bratislava but used globally. We care about solid data science skills, but we equally value engineering excellence, scalable infrastructure, and delivering reliable, production ready AI.

Why Join Us?
You'll build impactful AI solutions used globally, work in an environment that supports continuous learning, and grow your career by specializing in the areas that excite you most.
Thank you for taking the time to read our job advertisement. We look forward to getting to know you!

Zamestnanecké výhody, benefity:
You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Informácie o výberovom konaní:
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Požiadavky na zamestnanca:
You're curious about AI and excited to apply it to solve meaningful problems. You enjoy both building technical solutions and understanding the human needs behind them. Most importantly, you're eager to learn and grow in a team that supports your development.

We are looking for candidates who meet these requirements:
• A degree in Computer Science, Applied Mathematics, Software Engineering, or equivalent work experience
• Proficiency in Python (or similar languages) and experience with modern AI/ML frameworks
• Experience with Generative AI and/or Natural Language Processing

These are additional nice to haves:
• Experience deploying AI solutions, including model monitoring and maintenance
• Experience working with large-scale data pipelines and distributed computing
• Solid Understanding of machine learning, deep learning, and MLOps methodologies
• Ability to explain technical concepts to non-technical audience
• Enthusiasm for continuous learning and trying new approaches
If you don't have some of those but are eager to learn them, get in contact with us.