AI Infrastructure Engineer: Build Scalable, Reliable Systems

JDA WMS PTE. LTD.; Singapore; Remote; SGD 120,000 - 170,000; Full time

Job summary

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

Qualifications

• Strong expertise in distributed systems and production infrastructure.
• Experience making architectural trade-offs in real-world systems.
• Proficient in designing reliable, scalable software solutions.
• Hands-on, proactive approach to improving architectures and systems.

Responsibilities

• Design and develop agent execution infrastructure in Python with state management and fault tolerance.
• Build event and trajectory systems linking conversations, actions, and outcomes for AI research and diagnostics.
• Enhance production infrastructure: deployment pipelines, observability, latency, cost efficiency.
• Scale infrastructure from early-stage to a reliable platform supporting growing AI workloads.

Skills

Distributed systems

Production troubleshooting

Clean code

Architectural thinking

Job description

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