全职 AI Harness Engineer 工作, 薪水, Charterhouse Partnership 公司招聘中 - Ricebowl

We’re looking for an AI Harness Engineer to join a leading organisation in Singapore.

Responsibilities:

• Design and develop scalable, secure, and reusable engineering frameworks for AI models and agent-based systems
• Build and enhance capabilities for agent orchestration, context management, memory, and tool integration
• Develop evaluation, testing, and monitoring frameworks to improve AI system quality, reliability, and performance
• Implement security controls, guardrails, and governance mechanisms for production AI applications
• Build and maintain APIs, SDKs, reusable libraries, and integration services
• Establish best practices for AI observability, automated testing, and continuous improvement
• Integrate AI agents with enterprise data, APIs, workflows, and operational systems
• Contribute to cloud-native architecture, distributed systems, and production AI infrastructure
• Work closely with AI, technology, data, and security teams to translate requirements into scalable technical solutions
• Provide technical guidance on architecture, engineering standards, and best practices across teams

Qualifications:

• 8+ years of relevant experience in Software Engineering, AI/ML Engineering, Platform Engineering, Distributed Systems, or related areas
• Strong hands-on experience with Python and software engineering fundamentals
• Experience designing and developing production-grade applications involving LLMs, RAG, or AI agents
• Strong understanding of agent orchestration, context engineering, retrieval, memory, and tool/function calling
• Experience with AI evaluation, observability, automated testing, or reliability engineering
• Strong knowledge of APIs, distributed systems, microservices, and system design
• Understanding of enterprise security principles, including authentication, authorisation, access controls, and secrets management
• Experience building reusable frameworks, SDKs, platforms, or developer tools
• Experience with cloud-native technologies and distributed computing environments
• Familiarity with AI frameworks such as LangGraph, LangChain, or similar technologies is a plus
• Strong