AI INFRASTRUCTURE ENGINEER

JOB RESPONSIBILITIES

• 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.

REQUIREMENTS

• 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.

  If interested, please submit your application to Sign in to view email with your expected salary and resume.

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  JDA WMS Pte Ltd | EA Personnel: Pham Thi Tuyet Mai

  EA License No: 23S1595 | EA Registration No: R25127838