Fuku

AI-powered platform matches candidates with jobs

AI Platform Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listed

About the Job

Requirements

A bachelor's degree in Computer Science, Software Engineering, or a related field is required.
Strong backend development experience with Java, Go, Python, or a similar language is required.
Hands-on experience with cloud platforms such as AWS, Azure, Google Cloud Platform, or Alibaba Cloud is required.
Experience with microservices architecture and API design is required.
Familiarity with AI and large language model APIs such as OpenAI, Anthropic, and Qwen, and inference frameworks such as vLLM, Triton, and TGI, is required.
Experience building systems that scale to high user volumes is required.
Understanding of load balancing, service routing, and distributed systems is required.
Good communication skills and ability to work with cross-functional teams including Agent, hardware, and product teams are required.

Responsibilities

Own the end-to-end build of an AI model service platform from the ground up, designed to scale reliably to hundreds of thousands or millions of users.
Architect and continuously scale a unified layer of model API interfaces, including request routing across models, load balancing, and service expansion, while maintaining reliable AI-driven services for connected hardware.
Partner across Agent teams, hardware teams, and other functions to keep the platform's direction aligned with broader company goals.

AI Platform Engineer

Fuku · Singapore, Singapore · Full-time · Posted 2026-07-28

Workplace: on_site

Description

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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About the Company

Fuku

AI-powered platform matches candidates with jobs

Fuku.ai provides an AI-powered recruitment platform that helps HR teams find top candidates by delivering a curated, ranked list of profiles and resumes, with a focus on white-collar roles like lawyers, finance, and tech. It automatically matches job seekers to relevant opportunities based on experience, skills, and preferences, and lets professionals build detailed profiles. It differentiates itself with curated, ranked candidate lists within a subscription model for companies and a Talent Community that connects specialists to opportunities within client networks. Its goal is to help clients speed up hiring, optimize recruitment processes, and enable meaningful business improvements.

Company size: 11-50
Company stage: Seed
Total funding: $810K
Headquarters: Singapore, Singapore
Founded: 2024

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