Applied AI Engineer
- Salary not listed
- Remote-friendly · fits your timezone
- Posted 2 weeks ago · via Greenhouse
Build AI-powered fraud detection models for financial transactions
As an Applied AI Engineer at Plata Card, you will design and implement machine learning models to detect fraudulent activity in payment systems. Your work will focus on developing scalable AI solutions that analyze transaction patterns in real time to prevent financial loss. This role involves collaborating with engineering teams to integrate models into production environments for a global fintech product.
Why This Role?
Work on real-time fraud prevention systems with direct impact on financial security
Key Responsibilities
- Design machine learning models for fraud detection in financial transactions
- Develop and train AI systems to identify suspicious payment patterns
- Integrate fraud detection models into production environments
- Collaborate with engineering teams to deploy scalable AI solutions
- Monitor and improve model performance using real-world transaction data
Requirements
- Experience with machine learning model development
- Proficiency in AI tools and frameworks for fraud detection
- Knowledge of financial transaction systems and payment processing
- Ability to build and deploy models in production environments
- Strong analytical skills for pattern recognition in data
Required Skills
Indonesia Context
- Working Hours Overlap:
- Minimal overlap — opposite hours
View Original Description from Greenhouse BoardsShow more
Original description from Greenhouse Boards
<div id="rec855990004" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990004" data-artboard-screens="320,480,640,960,1200" data-artboard-height="246" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="363" data-artboard-height-res-480="356" data-artboard-height-res-640="241" data-artboard-height-res-960="246" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="246" data-artboard-proxy-max-height="246"> <div class="t396__elem tn-elem tn-elem__8559900041712751011017" data-elem-id="1712751011017" data-elem-type="text" data-field-top-value="76" data-field-left-value="271" data-field-height-value="130" data-field-width-value="636" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="73" data-field-left-res-320-value="10" data-field-width-res-320-value="306" data-field-top-res-480-value="72" data-field-left-res-480-value="80" data-field-width-res-480-value="319" data-field-top-res-640-value="56" data-field-left-res-640-value="66" data-field-width-res-640-value="501" data-field-top-res-960-value="76" data-field-left-res-960-value="152" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <div id="rec855990004" class="r t-rec" data-animationappear="off" data-record-type="396"></div> <div id="rec855990004" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990004" data-artboard-screens="320,480,640,960,1200" data-artboard-height="246" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="363" data-artboard-height-res-480="356" data-artboard-height-res-640="241" data-artboard-height-res-960="246" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="246" data-artboard-proxy-max-height="246"> <div class="t396__elem tn-elem tn-elem__8559900041713519411346" data-elem-id="1713519411346" data-elem-type="text" data-field-top-value="40" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="40" data-field-left-res-320-value="10" data-field-width-res-320-value="261" data-field-top-res-480-value="40" data-field-left-res-480-value="81" data-field-width-res-480-value="318" data-field-top-res-640-value="29" data-field-left-res-640-value="60" data-field-width-res-640-value="307" data-field-top-res-960-value="40" data-field-left-res-960-value="152" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <p>We are looking for <strong>Applied AI Engineers </strong>to join one of our teams — AI Tools team, CRM team, and others. <br><br>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. <br><br>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.<br><br>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.</p> <p><br><strong>Challenges that await you:</strong></p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="rec855990006" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990006" data-artboard-screens="320,480,640,960,1200" data-artboard-height="1530" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="2530" data-artboard-height-res-480="2399" data-artboard-height-res-640="1830" data-artboard-height-res-960="1540" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="1530" data-artboard-proxy-max-height="1530"> <div class="t396__elem tn-elem tn-elem__8559900061698693118486" data-elem-id="1698693118486" data-elem-type="text" data-field-top-value="76" data-field-left-value="271" data-field-height-value="260" data-field-width-value="636" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="72" data-field-left-res-320-value="10" data-field-width-res-320-value="305" data-field-top-res-480-value="72" data-field-left-res-480-value="80" data-field-width-res-480-value="319" data-field-top-res-640-value="75" data-field-left-res-640-value="65" data-field-width-res-640-value="501" data-field-top-res-960-value="77" data-field-left-res-960-value="150" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li><strong>Building AI-powered products</strong> from the ground up - assistants, chatbots, copilots, and internal automation.</li> <li>Improving model quality where it matters most - retrieval, prompting, fine-tuning, and choosing the right model for each task</li> <li>Owning LLM pipelines <strong>end-to-end</strong> — from model selection, retrieval, and prompting strategy to release and monitoring in production.</li> <li>Investigating and resolving production issues</li> <li>Building <strong>data loops</strong> that turn real usage into stronger evaluation datasets.</li> <li>Designing the <strong>evaluation</strong> methodology for our AI systems: what "good" means, how it's measured, and how we know a change is real</li> <li>Running experiments and <strong>A/B tests</strong>, and drawing conclusions that hold up under scrutiny</li> <li>Partnering with engineers and business owners to turn a modelling result into a shipped improvement</li> </ul> <p><strong>What makes you a great fit:</strong></p> </div> </div> <div class="t396__elem tn-elem tn-elem__8559900061701086828264" data-elem-id="1701086828264" data-elem-type="text" data-field-top-value="404" data-field-left-value="271" data-field-height-value="442" data-field-width-value="634" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="621" data-field-left-res-320-value="10" data-field-width-res-320-value="308" data-field-container-res-320-value="grid" data-field-top-res-480-value="622" data-field-left-res-480-value="80" data-field-height-res-480-value="806" data-field-width-res-480-value="333" data-field-container-res-480-value="grid" data-field-top-res-640-value="481" data-field-left-res-640-value="65" data-field-width-res-640-value="487" data-field-top-res-960-value="406" data-field-left-res-960-value="150" data-field-width-res-960-value="582" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li>Experience in a <strong>Machine Learning</strong> role</li> <li>Experience with agent frameworks or tool-using LLM systems</li> <li>Experience <strong>designing evaluations</strong> for LLM systems - representative task sets, automated graders, production signals, and human review</li> <li>Experience developing and launching AI products or features <strong>from scratch </strong>as an AI/ML/DS engineer</li> <li>Big-picture thinking to diagnose the right problem and productionise research</li> <li>You want to turn cutting-edge research and model capabilities into products that work for real users</li> <li>High autonomy and ownership</li> <li>English at B1 or above for effective communication with an international team </li> </ul> <p><strong>Your bonus skills:</strong></p> <div id="rec855990006" class="r t-rec" data-animationappear="off" data-record-type="396"> <div class="t396"> <div class="t396__artboard rendered" data-artboard-recid="855990006" data-artboard-screens="320,480,640,960,1200" data-artboard-height="1530" data-artboard-valign="center" data-artboard-upscale="grid" data-artboard-height-res-320="2530" data-artboard-height-res-480="2399" data-artboard-height-res-640="1830" data-artboard-height-res-960="1540" data-artboard-proxy-min-offset-top="0" data-artboard-proxy-min-height="1530" data-artboard-proxy-max-height="1530"> <div class="t396__elem tn-elem tn-elem__8559900061727362248427" data-elem-id="1727362248427" data-elem-type="text" data-field-top-value="914" data-field-left-value="271" data-field-height-value="78" data-field-width-value="598" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1534" data-field-left-res-320-value="10" data-field-width-res-320-value="303" data-field-container-res-320-value="grid" data-field-top-res-480-value="1484" data-field-left-res-480-value="80" data-field-width-res-480-value="321" data-field-top-res-640-value="1094" data-field-left-res-640-value="65" data-field-width-res-640-value="489" data-field-top-res-960-value="941" data-field-left-res-960-value="150" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li>A bachelor's/ master's degree or PhD in a quantitative discipline</li> <li>Scientific publications in ML, NLP, or a related field</li> <li>Medals from olympiads - maths, physics, or programming</li> </ul> </div> </div> </div> </div> </div> </div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713485" data-elem-id="1715530713485" data-elem-type="text" data-field-top-value="1024" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1715" data-field-left-res-320-value="12" data-field-width-res-320-value="195" data-field-container-res-320-value="grid" data-field-top-res-480-value="1638" data-field-left-res-480-value="80" data-field-width-res-480-value="318" data-field-top-res-640-value="1204" data-field-left-res-640-value="65" data-field-width-res-640-value="307" data-field-top-res-960-value="1051" data-field-left-res-960-value="153" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"><strong>Our ways of working:</strong></div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713504" data-elem-id="1715530713504" data-elem-type="text" data-field-top-value="1060" data-field-left-value="271" data-field-height-value="182" data-field-width-value="598" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="1747" data-field-left-res-320-value="10" data-field-width-res-320-value="303" data-field-container-res-320-value="grid" data-field-top-res-480-value="1670" data-field-left-res-480-value="80" data-field-height-res-480-value="338" data-field-width-res-480-value="321" data-field-container-res-480-value="grid" data-field-top-res-640-value="1239" data-field-left-res-640-value="65" data-field-width-res-640-value="489" data-field-top-res-960-value="1087" data-field-left-res-960-value="150" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li><strong>Innovative Spirit: </strong>A commitment to creativity and groundbreaking solutions</li> <li><strong>Honest Feedback:</strong> valuing open, transparent communication</li> <li><strong>Supportive Team: </strong>a strong, collaborative community</li> <li><strong>Celebrating Achievements: </strong>recognizing our wins together</li> <li><strong>High-Tech Environment:</strong> a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances</li> </ul> </div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713509" data-elem-id="1715530713509" data-elem-type="text" data-field-top-value="1274" data-field-left-value="271" data-field-height-value="20" data-field-width-value="656" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="2110" data-field-left-res-320-value="11" data-field-width-res-320-value="210" data-field-container-res-320-value="grid" data-field-top-res-480-value="2032" data-field-left-res-480-value="80" data-field-width-res-480-value="318" data-field-top-res-640-value="1530" data-field-left-res-640-value="69" data-field-width-res-640-value="307" data-field-top-res-960-value="1300" data-field-left-res-960-value="154" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"><strong>Our benefits:</strong></div> </div> <div class="t396__elem tn-elem tn-elem__8559900061715530713512" data-elem-id="1715530713512" data-elem-type="text" data-field-top-value="1310" data-field-left-value="271" data-field-height-value="208" data-field-width-value="634" data-field-axisy-value="top" data-field-axisx-value="left" data-field-container-value="grid" data-field-topunits-value="px" data-field-leftunits-value="px" data-field-heightunits-value="px" data-field-widthunits-value="px" data-field-textfit-value="autoheight" data-field-top-res-320-value="2142" data-field-left-res-320-value="10" data-field-width-res-320-value="308" data-field-container-res-320-value="grid" data-field-top-res-480-value="2064" data-field-left-res-480-value="80" data-field-height-res-480-value="338" data-field-width-res-480-value="333" data-field-container-res-480-value="grid" data-field-top-res-640-value="1565" data-field-left-res-640-value="65" data-field-width-res-640-value="487" data-field-top-res-960-value="1336" data-field-left-res-960-value="150" data-field-width-res-960-value="582" data-fields="top,left,width,height,container,axisx,axisy,widthunits,leftunits,topunits"> <div class="tn-atom"> <ul> <li data-list="bullet"><strong data-stringify-type="bold">Relocation support</strong> to one of our hubs — Cyprus, Serbia, Spain, Georgia or Kazakhstan — with assistance for the employee and their family</li> <li><strong>Flexible work </strong>from one of our offices or remotely within time zones from GMT-2 to GMT+5</li> <li><strong>Healthcare</strong> <strong>Coverage</strong></li> <li data-list="bullet"><strong>Education Budget:</strong> Language lessons, professional training and certifications</li> <li data-list="bullet"><strong>Wellness Budget:</strong> Mental health and fitness activity reimbursements</li> <li data-list="bullet"><strong>Vacation policy:</strong> 20 days of annual leave and paid sick leave</li> </ul> <div id="rec984594891" class="r t-rec" data-animationappear="off" data-record-type="396"></div> </div> </div> </div> </div> </div>
Salary Context
Similar Engineering roles on LokerDollar pay around $165k/yr (range $1k–1000k/yr, n=573 active listings).
Hiring at Plata Card
Plata Card has 28 other active roles on LokerDollar and has been hiring here since Oct 13, 2026 — across Engineering, Data & Analytics.
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Market context
- ESTIMATEEstimated pay is 33% below the role median of $165,000/year (n=573 pay-disclosing listings).
- VERIFIEDPlata Card: 30 postings in the last 3 months, 30 all-time on LokerDollar.
- VERIFIEDCompany first seen Oct 13, 2026.
- VERIFIEDThis listing first seen Oct 13, 2026.
- VERIFIEDLast verified live Oct 13, 2026.
Not quite right? Similar roles hiring now
View all →Frequently asked questions
- Is Applied AI Engineer at Plata Card a remote job?
- Yes. Applied AI Engineer at Plata Card is a fully remote role open to candidates worldwide.
- What type of employment is Applied AI Engineer at Plata Card?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Plata Card.
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