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Applied AI Engineer

  • Gaji tidak dicantumkan
  • Terbuka untuk Indonesia
  • Diposting 2 minggu yang lalu · lewat Greenhouse

Bangun model AI untuk kartu pembayaran digital

Kamu akan membangun dan mengembangkan model AI untuk kartu pembayaran digital di Plata Card. Model ini akan digunakan untuk meningkatkan keamanan dan pengalaman pengguna. Kamu akan bekerja dengan tim data science dan engineering untuk mengintegrasikan model AI ke dalam produk.

Kenapa Menarik?

Bergabunglah dengan tim yang fokus pada inovasi teknologi pembayaran digital.

Tanggung Jawab Utama

  • Membangun dan mengembangkan model AI untuk keamanan kartu pembayaran digital
  • Mengintegrasikan model AI ke dalam produk Plata Card
  • Bekerja sama dengan tim data science dan engineering untuk meningkatkan model AI
  • Menguji dan memvalidasi model AI untuk memastikan kinerja optimal

Persyaratan

  • Pengalaman dalam pembangunan model AI
  • Kemampuan dalam mengintegrasikan model AI ke dalam produk digital
  • Pemahaman tentang keamanan pembayaran digital
  • Kemampuan berkomunikasi dengan tim data science dan engineering

Skills Wajib

machine learningaidata sciencepythonsecurity

Konteks Indonesia

Overlap Jam Kerja:
Overlap minimal — jam kerja berlawanan
Lihat selisih gaji remote (USD) vs lokal →
Lihat Deskripsi Asli dari Greenhouse BoardsTampilkan selengkapnya

Deskripsi asli dari 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.&nbsp;<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.&nbsp;<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&nbsp;for effective communication with an international team&nbsp;&nbsp;</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:&nbsp;</strong>A commitment to creativity and groundbreaking solutions</li> <li><strong>Honest Feedback:</strong>&nbsp;valuing open, transparent communication</li> <li><strong>Supportive Team:&nbsp;</strong>a strong, collaborative community</li> <li><strong>Celebrating Achievements:&nbsp;</strong>recognizing our wins together</li> <li><strong>High-Tech Environment:</strong>&nbsp;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>&nbsp;Language lessons, professional training and certifications</li> <li data-list="bullet"><strong>Wellness Budget:</strong>&nbsp;Mental health and fitness activity reimbursements</li> <li data-list="bullet"><strong>Vacation policy:</strong>&nbsp;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>

Konteks Gaji

Posisi Engineering serupa di LokerDollar dibayar sekitar $165k/yr (kisaran $1k–1000k/yr, dari 565 listing aktif).

Perekrutan di Plata Card

Plata Card punya 28 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 13 Okt 2026 — di kategori Engineering, Data & Analytics.

Lihat semua lowongan Plata Card →

Konteks pasar

  • ESTIMASIEstimasi gaji 33% di bawah median peran serupa $165,000/tahun (n=565 listing bergaji).
  • TERVERIFIKASIPlata Card: 30 lowongan dalam 3 bulan terakhir, 30 sepanjang waktu di LokerDollar.
  • TERVERIFIKASIPerusahaan pertama kali terlihat 13 Okt 2026.
  • TERVERIFIKASILowongan ini pertama kali terlihat 13 Okt 2026.
  • TERVERIFIKASITerakhir diverifikasi masih aktif 13 Okt 2026.

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Terbuka untuk Indonesia
Perusahaan
Plata Card
Perkiraan gaji
$85k–135k/yr
Berdasarkan lowongan serupa — bukan angka dari perusahaan
Tipe Lowongan
full time
Lokasi
Remote · UTC-2
~0 jam overlap dengan jam Jakarta
Kategori
Level
mid
DipostingBaru & terverifikasi
28 Sep 2026

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Apakah Applied AI Engineer di Plata Card bisa dikerjakan remote?
Ya. Applied AI Engineer di Plata Card adalah posisi remote yang terbuka untuk kandidat di seluruh dunia, termasuk Indonesia.
Jenis pekerjaan apa Applied AI Engineer di Plata Card?
Posisi ini adalah pekerjaan full time.
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