Platform Engineer

PeopleSearch; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

PeopleSearch is seeking a highly skilled Senior AI Platform Engineer to lead the design, development, and scaling of reusable AI services, APIs, and SDKs across our enterprise. You will build core pillars like LLM endpoints, vector databases, and agent runtimes, ensuring production readiness and security.

Collaborating with cross‑functional teams, you will drive architectural patterns, provide scalable solutions, and embed governance and safety guardrails within the platform codebase to enable

Qualifications

• Bachelor's degree in a related technical discipline.
• Hands-on software/backend engineering experience.
• Proficiency in Python and building scalable APIs.

Responsibilities

• Architect and maintain core pillars of the AI platform (LLM endpoints, agent runtimes, vector databases, model routers, knowledge retrieval).
• Develop reusable APIs, SDKs, and patterns for self-serve AI app building.
• Ensure production readiness, high availability, and performance with strong monitoring and optimization.

Skills

Python

API design

Backend development

Cloud automation

LLM orchestration

Education

Bachelor's degree in Computer Science/Software Engineering/Information Systems

Tools

Vector databases

Cloud platforms

Job description

We are looking for a highly skilled and hands‑on Senior AI Platform Engineer to serve as a core builder of our enterprise‑wide AI infrastructure. In this role, you will be the driving force behind the design, development, and scaling of reusable AI services, APIs, and SDKs. Your work will directly empower cross‑functional engineering teams to accelerate the delivery of cutting‑edge AI solutions in a secure, standardized, and highly performant environment.

What You'll Do

• Architect, build, and maintain the core technical pillars of the AI platform, including LLM endpoints, agent runtimes, vector databases, model routers, and knowledge retrieval services.
• Develop reusable APIs, SDKs, and implementation patterns that reduce duplication and provide a seamless, self‑serve experience for teams building AI applications.
• Ensure all AI platform components are production‑ready, highly available, and scalable by implementing robust operational monitoring, troubleshooting, and performance optimization.
• Drive continuous engineering improvements and guide teams across the organization to adopt proven architectural patterns and shared platform capabilities.
• Partner closely with security and governance functions to embed safety guardrails, compliance, and secure delivery practices directly into the platform’s foundational code.

What You'll Need

• Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• Proven hands‑on experience in software engineering, backend development, or platform engineering, with a strong focus on building shared enterprise services.
• Advanced proficiency in Python, with a strong track record of building scalable APIs, backend services, and cloud automation scripts.
• Deep technical understanding of the modern AI stack, including LLM orchestration, agent loops, context/memory management, and vector databases.
• Solid understanding of cloud‑native platforms, microservices architecture, and system integration patterns.
• Familiarity with secure coding practices, enterprise engineering standards, and implementing governance frameworks within technical pipelines.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.