Senior AI Platform Engineer — Scale Agent Runtimes

GIC

Singapore

Hybrid

SGD 140,000 - 230,000

Full time

14 days+
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Flexible work arrangement

Job summary

GIC, a leading global long-term investor, is seeking a Senior AI Engineer to own the agent runtime architecture and drive the technical direction of the AI platform. You will enable dozens of teams to run hundreds of agents reliably at enterprise scale, shaping distributed systems and memory layers across gateway, IAM, memory, and observability.

You will design durable execution, orchestrate multi-step workflows, and embed production-readiness from day one, collaborating with SRE and platform

Qualifications

  • Must Have: 8+ years in software or platform engineering with AI/ML infra experience.
  • Deep distributed-systems expertise in state management, fault tolerance, and concurrency.
  • Production agentic systems experience with multi-step workflows and non-deterministic behavior.

Responsibilities

  • Lead architecture and technical direction for the agent runtime and related distributed systems.
  • Operate agentic workflows at scale with reliability and performance.
  • Collaborate with SRE and platform teams to embed resilience and observability patterns.
  • Evaluate and extend agent frameworks for portability and stability.
  • Design memory and state layers for long-term agent learning and continuity.
  • Contribute to the early-stage buildout of a new AI platform with production-readiness.
  • Mentor engineers and uphold high design/testing/documentation standards.

Skills

Architecting
Distributed systems
Python
LLM integration
Agent frameworks
Containers & CI/CD
Cloud platform

Tools

Temporal
LangGraph
CrewAI
Semantic Kernel
OpenAI Agents SDK
Kubernetes

Job description

GIC, a leading global long-term investor, is seeking a Senior AI Engineer to own the agent runtime architecture and drive the technical direction of the AI platform. You will enable dozens of teams to run hundreds of agents reliably at enterprise scale, shaping distributed systems and memory layers across gateway, IAM, memory, and observability.

You will design durable execution, orchestrate multi-step workflows, and embed production-readiness from day one, collaborating with SRE and platform

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