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Open nowPosted 68 days ago

AI Platform Engineer

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowAI Platform EngineerWorkable (global search) · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 68 days ago

Workable (global search) median: 7 days open

The posting

About the company: We are in the tech industry, specializing in cutting-edge AI solutions and advanced platform development. With a mission to empower businesses through intelligent automation and data-driven insights, we foster a collaborative and forward-thinking environment where creativity and technical excellence thrive.

Job responsibilities: - Own the end-to-end build of an AI model service platform, starting from zero, engineered to grow into a system that can reliably serve user bases in the hundreds of thousands to millions. - Architect and continuously scale a unified layer of model API interfaces, overseeing how requests are routed across models, how load gets balanced, and how the service expands over time — all while keeping AI-driven services running reliably for connected hardware. - Deep working knowledge of today's leading AI models and their APIs - Solid backend development skills, with experience in cloud deployment, microservices, and inference frameworks, and the ability to iteratively scale and improve systems in production. - Business-savvy and outcome-driven, comfortable partnering across Agent teams, hardware teams, and other functions to keep the platform's direction tied to broader company goals.

Requirements: - Bachelor's degree in Computer Science, Software Engineering, or a related field - Strong backend development experience (Java, Go, Python, or similar) - Hands-on experience with cloud platforms (AWS, Azure, GCP, or Alibaba Cloud) - Experience with microservices architecture and API design - Familiarity with AI/LLM APIs (OpenAI, Anthropic, Qwen, etc.) and inference frameworks (e.g., vLLM, Triton, TGI) - Experience building systems that scale to high user volumes - Understanding of load balancing, service routing, and distributed systems - Good communication skills; able to work with cross-functional teams (Agent, hardware, product)

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • Who got the interview, and who heard nothing

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