AI INFRASTRUCTURE ENGINEER (REMOTE)

JDA WMS PTE. LTD.

Singapore

Remote

SGD 120,000 - 170,000

Full time

14 days+
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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

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.

    We regret that only short-listed candidates will be contacted shortly. By submitting your application or resume, you agree to the collection, use, retention, and sharing of your personal information with potential employers for their assessment.

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

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

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