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JDA WMS Pte Ltd in Singapore seeks an engineer to design and build agent execution infrastructure in Python, ensuring persistent state, reliable tool execution, and fault-tolerant recovery. You will connect conversations, actions, and outcomes to provide high-quality data for AI research and diagnostics, while improving deployment pipelines and system observability.
The role requires hands-on, proactive engineers with strong software craftsmanship and a clear interest in AI agent infrastructure
Design and develop agent execution infrastructure in Python, including persistent state management, reliable tool/API execution, and fault-tolerant recovery.
Build event and trajectory systems that connect conversations, agent actions, and outcomes, providing high-quality data for AI research and clear diagnostics for engineering teams.
Develop and improve production infrastructure, including deployment pipelines, system observability, latency optimization, and cost efficiency.
Scale infrastructure from an early-stage foundation into a reliable, highly available platform capable of supporting growing AI workloads.
Strong expertise in distributed systems, with hands-on experience managing critical infrastructure in production environments.
Experience making architectural trade-offs and troubleshooting real-world production failures.
Strong programming and software engineering skills, with a focus on writing clean, maintainable code.
Proactive and hands-on approach to building, improving, and challenging existing architectures.
Strong technical interest in AI agent infrastructure and a clear understanding of how AI agents can operate reliably at scale.
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JDA WMS Pte Ltd | EA Personnel: Pham Thi Tuyet Mai
EA License No: 23S1595 | EA Registration No: R25127838