Job description

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: Annual leave and paid sick leave as per applicable policies

Requirements

Must-haves

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
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
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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmachine learningml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Wellness