AI Platform Engineer
Summary
The AI Platform Engineer will build and maintain shared AI services, including LLM endpoints, agent runtimes, and vector services, while ensuring platform scalability and security. The role involves creating reusable APIs and SDKs to support AI development and collaborating with governance teams to maintain operational standards.
WhatYou'll Do
- Build and maintain shared AI services such as LLM endpoints, embedding services,vector and knowledge services, agent runtimes, and model routers.
- Create reusable APIs, SDKs, tools, integrations, and engineering patterns, includingagent orchestration, memory and context, and MCP services.
- Make platform services production-ready, secure, scalable, reliable, and wellmonitored.
- Troubleshoot issues and improve platform performance, automation, maintainability, anddeveloper experience.
- Work with the AI Governance Engineer to embed security, safety, governance, andoperational standards into platform services.
WhatWe're Looking For
- Degree in Computer Science, Information Systems, Engineering, Information Technology, ora related field.
- Relevant experience in software engineering, application development, platformengineering, or AI platform delivery.
- Strong hands-on Python skills, including experience building APIs, cloud services,scripts, integrations, or automation.
- Good understanding of LLM services, agents, APIs, SDKs, vector or knowledgeservices, and reusable engineering patterns.
- Good understanding of cloud platforms, integration and application architecture,production operations, secure delivery, and cross-team collaboration.
Account Manager
Anthony Poh Cheng Chuan
EA License No: 16S8107
EA Personnel Registration No: R1104800