About the company
Plata's AI teams turn everyday business problems into working software, automating processes across the company and putting AI tools directly in the hands of the people who need them — from customer-facing support chatbots to back-office automation.
Responsibilities
- 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 AI systems: what "good" means, how it's measured, and how we know a change is real
- Running experiments and A/B tests, drawing conclusions that hold up under scrutiny
- Partnering with engineers and business owners to turn a modelling result into a shipped improvement
Requirements
- 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
- High autonomy and ownership
- English at B1 or above
Conditions
- Relocation support to one of the hubs — Cyprus, Serbia, Spain, Georgia or Kazakhstan — with assistance for the employee and their family
- Flexible work from one of the 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
- Annual leave and paid sick leave as per applicable policies