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
Konteks Indonesia
- Overlap Jam Kerja:
- Overlap minimal — jam kerja berlawanan
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. <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>
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.
- Software Engineer - iOS Middle/Middle+
- SRE [Processing Core Team]
- Data Analyst Junior / Junior+ [Core Banking]
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.
Kurang cocok? Lowongan serupa yang sedang buka
Lihat semua →Pertanyaan yang sering diajukan
- 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.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Plata Card.
Jelajahi lebih lanjut
- Lowongan Engineering Remote Seluruh Dunia
- Lowongan Engineering Remote Terbuka untuk Indonesia
- Lowongan Engineering Remote Level Menengah
- Lowongan Engineering Remote di Fintech
- Lowongan Engineering Remote di Keamanan Siber
- Lowongan Kerja Machine Learning Remote
- Lowongan Kerja Ai Remote
- Lowongan Kerja Data Science Remote
Data & laporan pasar
Riset gaji & permintaan skill dari data lowongan kami sendiri.
- Skill yang Dicari Perusahaan Remote di Era AISkill paling sering disebut di lowongan aktif per jenis, skill AI, dan yang tumbuh tercepat. Data mingguan.
- Lowongan IT Indonesia vs Remote Global (2026)Analisis data primer 2.049 lowongan: metodologi, klasifikasi, dataset bisa diunduh.
- Permintaan Skill AI: Indonesia vs Global (2026)10.000+ lowongan, classifier taxonomy-first, Wilson CI, pra-registrasi sebelum analisis.
- Remote ≠ Remote: Skill yang Membuka Kerja Global untuk Indonesia (2026)12.891 lowongan remote: skill coding bergaji tertinggi justru paling terkunci untuk pelamar Indonesia. Dataset agregat CC BY 4.0.
- Lapisan Kepatuhan dalam AI Hiring Stack (2026)6.349 lowongan remote: 77,2% tidak menyebut siapa yang boleh melamar. Metodologi dan dataset agregat CC BY 4.0.
- AI di Iklan Lowongan: Indonesia vs Global (2026)Iklan engineering global yang menyebut AI naik dari 3,4% ke 23% sejak ChatGPT; iklan Indonesia dari 2,2% ke 2,8%. Skenario 2027 dan dataset CC BY 4.0.
- Laporan Hiring Indonesia: Tech vs Non-TechPermintaan lowongan per bidang dari hitungan agregat — bukan listing per-listing.
- Benchmark Gaji IndonesiaKisaran gaji agregat lintas peran, dengan metodologi dan dataset terbuka.
- Indeks Gaji & Permintaan Kerja Remote untuk IndonesiaBerapa banyak lowongan remote global yang terbuka untuk Indonesia, dan gajinya (USD) per bidang.
- Laporan Kuartalan Pasar Kerja IndonesiaPHK, pendanaan, gaji & skill per kuartal — agregat terbuka.
- Laporan Pasar Remote per PeranLaporan otomatis per kelompok peran — skill, senioritas, perusahaan, gaji.
- Benchmark Gaji Remote GlobalGaji tahunan per bidang & mata uang, plus porsi lowongan terbuka untuk seluruh dunia.
Dari blog kami
- Jio Home dan Dampaknya pada Pasar Kerja Remote di IndonesiaAnalisis data Loker Dollar 15 Oct 2026 menunjukkan 4 441 lowongan remote aktif, dengan 62 % terbuka global, dan mengaitkannya dengan tren AI pasca peluncuran Jio Home.
- Freelance Creative Remote di Indonesia: Data Gaji & Peluang Oktober 2026Analisis Loker Dollar tentang lowongan freelance kreatif remote, termasuk rentang gaji, perusahaan pembayar tertinggi, dan skill paling dicari.
- Jio Home Bangla 2026: Data‑driven Reality CheckAnalisis angka‑angka Loker Dollar tentang lowongan remote, gaji, dan skill yang dibutuhkan untuk Jio Home Bangla 2026.