Applied AI Engineer
Posted 459 days ago, which is unusual. The employer's own board was still carrying it when we last read it, just now.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 459d ago
The date the source published, not the day we noticed it (2025-07-30). Last seen at its source just now.
We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $143.8k–213.1k/yr
Middle 50% of 24 listings that do state pay — Engineering · all levels · Worldwide · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 59d ago · last seen just now
The listing
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