Live opening · Posted 1 day ago

AI Engineer

McEasy · Indonesia (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyMcEasy
LocationIndonesia (Remote)
Work modeYes
SkillsPython, JavaScript, Node.js
SourceLinkedin
ListedPosted 1 day ago

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About the role

Description supplied by the original job listing.

We are looking for an AI Engineer to turn 8+ years of logistics and IoT data into real, customer-facing intelligence.
This role is not about building complex AI models.
It is about solving real business problems using data, simple logic, and AI tools — and shipping fast.
You will work closely with leadership to:
translate ideas into working features
build anomaly detection, insights, and benchmarking systems
deliver outputs that customers can act on immediately
What will you do?
1. Build Data-Driven Features
Develop features such as anomaly detection (fuel, trips, driver behavior), fleet benchmarking, and automated weekly insights.
Turn raw data into clear, actionable outputs.
2. Design Simple, Effective Logic
Start with rules, thresholds, and statistical methods.
Avoid overengineering — focus on usefulness over complexity.
3. Develop and Ship Fast
Build backend services to process data (batch or near real-time), detect anomalies or patterns, and generate insights.
Deliver MVPs quickly and iterate based on feedback.
4. Use AI Tools Practically
Use LLMs (e.g., Claude, GPT) for summarizing insights, generating explanations, and enhancing the user experience.
Combine AI with structured logic and data.
5. Collaborate Across Teams
Work with Data Engineers to access clean datasets.
Work with Software Engineers to integrate solutions into the product.
Work with Product/Leadership teams to refine use cases.
Qualifications:
Must-Have
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)
Nice-to-Have
Experience with: anomaly detection or time-series data, logistics / IoT datasets
Familiarity with: LLM APIs (OpenAI, Claude, etc.), basic statistical methods
Experience working in fast-paced, product-driven environments
Ready to embark on a thrilling journey with us? If you're eager to bring your passion, energy, and expertise to our dynamic team, simply click 'Easy Apply' and let the adventure begin! Your next career move is just one click away – let's make it happen together!

Work arrangement
Yes

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