AI Agent Engineer: Runtime & Enterprise Platform

Red Begonia Limited; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

RedotPay is a global crypto payment fintech building AI-powered capabilities for digital finance. We are expanding the AI Agent Runtime with an architecture that orchestrates agents, tools, and memory across multi-turn interactions.

The role focuses on enterprise-grade agent platforms, runtime performance, and integrating evolving AI technologies into production workflows to enable secure and scalable payments.

Qualifications

• 5+ years of software engineering experience, with AI/Agent R&D exposure.
• Bachelor’s degree or higher in Computer Science or related field.
• Strong knowledge of agent design patterns and LLM integration.
• Experience with backend stacks and real-time communication (e.g., WebSockets).
• Familiarity with streaming protocols and AI workflows.

Responsibilities

• Architect and build core modules for the AI Agent Runtime, including orchestration, Tool Calling, memory management, and context orchestration.
• Drive enterprise-grade Agent capabilities, including plugin architecture and multi-LLM vendor adaptation.
• Work on runtime stability and performance, including long-context management, concurrency, token optimization, and caching.
• Track cutting-edge AI technologies (Function Calling, Multi-Agent systems, MCP) and translate into production features.
• Collaborate on AI-native payment workflows and end-to-end execution scenarios.

Job description

RedotPay is a global crypto payment fintech building AI-powered capabilities for digital finance. We are expanding the AI Agent Runtime with an architecture that orchestrates agents, tools, and memory across multi-turn interactions.

The role focuses on enterprise-grade agent platforms, runtime performance, and integrating evolving AI technologies into production workflows to enable secure and scalable payments.