Applied AI Engineer

We are looking for Applied AI Engineers to join one of our teams — AI Tools team, CRM team, and others.

Our AI teams turn everyday business problems into working software. We automate processes across the company and put AI tools directly in the hands of the people who need them — so time goes into decisions, not routine. For example, we build in-app support experiences like Plata's customer-facing support chatbot.

Wherever you land, you'll be building production systems on top of the most capable models available, from customer-facing assistants to back-office automation that quietly saves thousands of hours.

You'll collaborate cross-functionally with backend engineers, product teams, and business owners to deliver automated, scalable solutions that change how the company works day to day.

Challenges that await you:

Building AI-powered products from the ground up - assistants, chatbots, copilots, and internal automation.

Improving model quality where it matters most - retrieval, prompting, fine-tuning, and choosing the right model for each task

Owning LLM pipelines end-to-end — from model selection, retrieval, and prompting strategy to release and monitoring in production.

Investigating and resolving production issues

Building data loops that turn real usage into stronger evaluation datasets.

Designing the evaluation methodology for our AI systems: what "good" means, how it's measured, and how we know a change is real

Running experiments and A/B tests , and drawing conclusions that hold up under scrutiny

Partnering with engineers and business owners to turn a modelling result into a shipped improvement

What makes you a great fit:

Experience in a Machine Learning role

Experience with agent frameworks or tool-using LLM systems

Experience designing evaluations for LLM systems - representative task sets, automated graders, production signals, and human review

Experience developing and launching AI products or features from scratch as an AI/ML/DS engineer

Big-picture thinking to diagnose the right problem and productionise research

You want to turn cutting-edge research and model capabilities into products that work for real users

High autonomy and ownership

English at B1 or above for effective communication with an international team

Your bonus skills:

A bachelor's/ master's degree or PhD in a quantitative discipline

Scientific publications in ML, NLP, or a related field

Medals from olympiads - maths, physics, or programming

Our ways of working:

Innovative Spirit: A commitment to creativity and groundbreaking solutions

Honest Feedback: valuing open, transparent communication

Supportive Team: a strong, collaborative community

Celebrating Achievements: recognizing our wins together

High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Our benefits:

Relocation support to one of our hubs — Cyprus, Serbia, Spain, Georgia or Kazakhstan — with assistance for the employee and their family

Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5

Healthcare Coverage

Education Budget: Language lessons, professional training and certifications

Wellness Budget: Mental health and fitness activity reimbursements

Vacation policy: 20 days of annual leave and paid sick leave