Applied AI Engineer

Company shown to members 🔒 · Remote · Work from anywhere

Work from anywhereExperience not statedPublished 30 July 2025Ghost risk: high

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Experience not stated
Where you can live
Work from anywhere
Languages
English
Skills and tools
machine learning, crm
Time zone
GMT-2
Degree or licence
Mentioned (bachelor's)

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Job details

Where you can work
Work from anywhere
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
Experience not stated
Employer publication date
30 July 2025
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

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 the company'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, 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

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Ghost Job Detector: Ghost risk: high
  • Open over a year (468 days)
  • No pay listed
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