Senior AI Platform Engineer: Build Scalable AI Services

peoplesearch pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PeopleSearch Pte Ltd is seeking a highly skilled AI Platform Engineer to build and scale reusable AI services, APIs, and SDKs for enterprise use. The role focuses on designing a secure, high-performance AI infrastructure that accelerates cross-functional teams.

You will lead the architecture of LLM endpoints, vector databases, and knowledge retrieval, while ensuring production-readiness and robust monitoring. A strong Python background and cloud-native experience are essential.

Qualifications

• Bachelor's degree in a technical discipline.
• Hands-on software engineering, backend or platform engineering experience.
• Advanced Python with scalable APIs and cloud automation.
• Deep understanding of AI stack: LLM orchestration, agent loops, vector DBs.
• Knowledge of cloud-native platforms, microservices, and integration patterns.
• Familiarity with secure coding and governance in pipelines.

Responsibilities

• Architect and maintain core pillars of the AI platform (LLM endpoints, agent runtimes, vector databases, model routers).
• Develop reusable APIs, SDKs, and implementation patterns for teams.
• Ensure platform components are production-ready, highly available, and scalable with monitoring and optimization.
• Drive continuous engineering improvements and promote shared platform patterns across teams.
• Partner with security/governance to embed guardrails and secure delivery in the platform code.

Skills

Python

Backend API design

Cloud automation

LLM orchestration

Microservices

Security practices

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Docker

AWS/GCP/Azure

Job description

PeopleSearch Pte Ltd is seeking a highly skilled AI Platform Engineer to build and scale reusable AI services, APIs, and SDKs for enterprise use. The role focuses on designing a secure, high-performance AI infrastructure that accelerates cross-functional teams.

You will lead the architecture of LLM endpoints, vector databases, and knowledge retrieval, while ensuring production-readiness and robust monitoring. A strong Python background and cloud-native experience are essential.