Applied AI Engineer
- Salary
- Not stated
- Level
- Mid
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: HQ HIRES STEADILY
This role is one of 40 open in HQ. 10 were posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (18 of 40), SQL (14 of 40), CI/CD (9 of 40), Golang (9 of 40), Kafka (8 of 40), AWS (7 of 40), Kubernetes (7 of 40)
OTHER ROLES ON THIS TEAM
- Document Management & Internal Control Analyst Colombia posted Oct 14
- Identity & Access Management Engineer - Middle+ posted Oct 14
- Lead QA Engineer [ATM] posted Oct 13
- Credit Risk Analyst posted Oct 9
- Credit Risk Analyst Colombia posted Oct 8
- Product Manager for Regulatory Reporting posted Oct 2
- AI Creative Marketer (Intern) posted Oct 2
- Product Manager Senior [KYB] posted Sep 25
- Platform Engineer posted Sep 21
- Risk Data Scientist posted Sep 17
- AI Automation Analyst posted Sep 10
- Head of Information Security posted Sep 8
- Tax Analyst posted Sep 3
- QA Engineer - Backend (Golang) Middle [Identity] posted Sep 2
- Principal Engineer posted Aug 28
- QA Engineer - Fullstack(Mobile) Junior+ posted Aug 26
- QA Engineer - Backend (Golang) Junior+ posted Aug 26
- AML Analyst posted Aug 25
- Engineering Manager [AI Business Features] posted Aug 25
- Engineering Manager - Python [DWH Data Tools] posted Aug 21
- Product Manager Lead [Communications Platform] posted Aug 17
- Engineering Manager - Golang [Telesales] posted Aug 17
- Business Analyst Senior [PyME Origination - Persona Moral] posted Jul 28
- Product Designer Junior+ posted Jul 24
- Risk Analyst [Business Plan, Provisions & Reporting] posted Jun 16
- Data Scientist [Integrated Risk Management] posted Jun 15
- Data Analyst Junior / Junior+ [Core Banking] posted May 26
- Incident Manager - Senior [Customer IT Support] posted May 18
- Product Manager Middle/Middle+ [Collection] posted May 1
- Risk Data Governance Lead [Integrated Risk Management] posted Apr 9
- QA Engineer - Backend (Golang) Senior [Core Banking Systems] posted Nov 30
- SRE [Processing Core Team] posted Oct 13
- Product Analyst Middle+ / Senior / Lead posted Oct 8
- Risk Data Analyst [Integrated Risk Management] posted Sep 19
- DataBase Administrator posted Sep 17
- Software Engineer - Golang Junior / Junior+ posted Jul 15
- Application Security Engineer - Senior posted Jun 27
- DevOps Engineer posted Jun 2
- Network Engineer posted May 13
From the team and dates on Plata Card's own job board.
About the role
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: 20 days of annual leave and paid sick leave
Salary context
36 other open postings titled Applied AI Engineer state a salary: median USD 155,500 to USD 250,000 a year.
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