Applied AI Engineer

remote work; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Relocation support

Flexible work

Healthcare Coverage

Education Budget

Wellness Budget

Vacation Policy

Job summary

Applied AI Engineers are invited to join a flexible, US-based company focused on turning business problems into working software. You will build production AI systems across teams, including customer-facing assistants and internal automation, with cross-functional collaboration across backend, product, and business stakeholders.

You will shape evaluation methods, run experiments, and own end-to-end LLM pipelines from model selection to release and monitoring.

Qualifications

• 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
• High autonomy and ownership

Responsibilities

• Build AI-powered products such as assistants, chatbots, copilots, and internal automation
• Improve model quality where it matters - retrieval, prompting, fine-tuning, and model selection
• Own LLM pipelines end-to-end from design to release and monitoring
• Investigate and resolve production issues
• Create data loops turning real usage into evaluation datasets
• Design evaluation methodologies for AI systems and measure 'good' outcomes
• Run experiments and A/B tests to validate improvements
• Collaborate with engineers and business owners to ship model-derived improvements

Skills

Machine Learning

LLM Systems

Evaluations for LLM

AI Product Development

Big-picture thinking

Autonomy

English communication

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 abovefor 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