AI Engineer

🔥 1 hour ago

🇮🇩 Indonesia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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McEasy

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

☁️ SaaS

🚗 Transport

🤝 B2B

🔥 Funding within the last year

💰 $1.8M Debt Financing on 2026-08

SaaS • Transport • B2B

McEasy is an Indonesian technology company that provides logistics and transportation solutions through its McEasy Platform (MEP). The MEP is a SaaS dashboard that integrates fleet management, GPS tracking, route planning and optimization, order and transportation management, video monitoring with TrackVision cameras and AI-powered MDVR, fuel management via sensors, telematics/IoT devices, and analytics to give B2B clients real-time visibility and streamline supply chains. McEasy focuses on digitizing supply chains across Southeast Asia, is ISO 27001:2022 and 9001:2015 certified, and has partnered with over 1,500 companies across industries.

📋 Description

• Build and ship AI engineering features for McEasy's transportation management solution • Develop backend solutions using Python, Node.js, or similar technologies • Manipulate and work with SQL and real-world datasets • Translate logistics business problems into technical solutions • Potentially work with anomaly detection, time-series data, logistics, and IoT datasets • Collaborate in a fast-paced, product-driven engineering environment

🎯 Requirements

• Strong backend development skills (Python, Node.js, or similar) • Solid SQL and data manipulation experience • Experience working with real-world, messy datasets • Ability to translate business problems into technical solutions • Track record of building and shipping features (not just prototypes) • Experience with anomaly detection or time-series data • Experience with logistics / IoT datasets • Familiarity with LLM APIs (OpenAI, Claude, etc.) • Familiarity with basic statistical methods • Experience working in fast-paced, product-driven environments

🏖️ Benefits

• Employees can work remotely

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