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Open nowPosted 30 days ago

AI Platform Engineer

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 11,000 a month
Where
Central, Singapore
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Your applicationOpen nowAI Platform EngineerMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 30 days ago

The posting

AI Platform Engineer

About the Role

Design, build, and operate the reusable services and engineering assets that power the organization's enterprise AI Platform — a shared capability providing AI services, governance-by-design controls, and reference architectures that accelerate AI delivery across the organization. This is a hands-on, pro-code role requiring strong software engineering and Python capability.

What You'll Do

  • Design, build, and maintain core AI platform components — LLM inference endpoints, embedding services, vector database infrastructure, agent orchestration layers, and model routers.
  • Build reusable products (agent harness, memory/context, agent loops, tools, SDKs) that reduce duplication and let teams build faster using common capabilities.
  • Ensure platform services are production-ready, secure, scalable, and well-monitored, with sound reliability engineering and operational practices.
  • Continuously improve the platform — refining services, exploring new engineering approaches, and enhancing reuse and automation.
  • Partner with the Governance function to embed security, safety, and compliance requirements directly into platform design and engineering patterns.

What We're Looking For

  • Degree in Computer Science, Information Systems, Engineering, IT, or related field.
  • Hands-on experience in software engineering, application development, or platform/AI platform delivery.
  • Strong coding ability in Python, with experience building APIs, services, or automation on cloud platforms.
  • Good understanding of AI platform components (LLMs, agent frameworks, vector/knowledge services, SDKs) and ability to engineer reusable, adoption-ready patterns.
  • Good understanding of cloud platforms, integration patterns, and operational considerations for shared services.
  • Understanding of governance-by-design and secure delivery practices for AI platforms.
  • Strong collaboration skills to work across platform, governance, and solution teams.

Account Manager

Jason He Runfeng

EA License No: 16S8107

EA Personnel Registration No: R25157533

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