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
