Applied AI Engineer
At a glance
Mid-level AI Engineering role at Plata Card. Worldwide.
Pay not stated Applied AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI assistants, chatbots, copilots and internal automation, taking products from initial design into production
- Improve model results through retrieval, prompt design, fine-tuning and task-specific model selection
- Run LLM systems through release and production monitoring, and investigate issues when they arise
- Turn real-world usage into evaluation data, define quality measures, and test changes with experiments and A/B tests
- Work with engineers and business owners to turn modelling results into improvements users can use
What you bring
- You have worked in a machine learning role and have launched AI products or features from scratch
- You have experience with agent frameworks or LLM systems that use tools
- You can design LLM evaluations using representative tasks, automated grading, production signals and human review
- Your English is at least B1 for communication with an international team
Who this fits
This role suits an autonomous engineer who can identify the right problem and turn research or model capabilities into production software. You can work remotely within GMT-2 to GMT+5 or from an office; relocation support is available for Cyprus, Serbia, Spain, Georgia or Kazakhstan.
From the employer
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
- 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
- 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