4 days onsite (with flexibility to work from home on other days)
8+ years software or platform engineering experience
3+ years building ai/ml infrastructure at scale
Deep distributed-systems expertise with state management
GIC Private Limited is seeking an experienced AVP/VP, AI Engineer for their Technology Group in Singapore. The ideal candidate will possess significant expertise in AI/ML infrastructure, distributed systems, and agentic systems to drive the development of foundational AI platforms
Job Summary
The role involves owning the architecture and technical direction of the agent runtime to drive GIC's transformation from AI-enabled to AI-native.
Candidates will design resilient, scalable solutions for multi-step workflows, managing durable state and connecting agents to tools and data.
GIC offers a flexible work arrangement where teams come into the office four days per week while maintaining flexibility for remote work.
Matching Summary
Match Score: 85
GIC Private Limited is seeking an experienced AVP/VP, AI Engineer for their Technology Group in Singapore. The ideal candidate will possess significant expertise in AI/ML infrastructure, distributed systems, and agentic systems to drive the development of foundational AI platforms.
Skills & Requirements
Must-have
8+ years software or platform engineering experience
3+ years building AI/ML infrastructure at scale
Deep distributed-systems expertise with state management
Experience with durable execution engines like Temporal
Python mastery for production-grade services
Hands-on experience with LangGraph or CrewAI frameworks
LLM integration at scale including model routing
Nice-to-have
Experience designing MCP server fleets at scale
Background in agentic memory systems and context engineering
Depth in event-driven architectures and message brokers
Experience with AI observability tools like Arize or Langfuse
Contributions to open-source AI/ML infrastructure
Track record of framework evaluation and migration
Key Requirements
8+ years in software or platform engineering
3+ years building or operating AI/ML infrastructure
Production agentic systems experience
Cloud platform experience (AWS preferred)
Comfort with containers and orchestration (Docker, Kubernetes)