APPLIED AI FELLOWSHIP · T4
AI Engineer
Build AI systems that hold at scale in production.
⏱ 10 weeks 👤 Engineers 🌏 Singapore & online
MCP tool registry, guardrails, identity & budget controls, agent orchestration, and production debugging. Build systems that hold at scale.
Who this is for
- Software engineers adding AI capabilities to products
- Backend engineers building AI infrastructure
- SREs and platform engineers supporting AI workloads
- Full-stack engineers building AI-native applications
Prerequisites
Software engineering experience required. Python or equivalent.
What you'll learn
1
MCP tool registry design and governance
2
Guardrails: input/output validation, content filtering, fallbacks
3
Identity and budget controls for multi-agent systems
4
Agent orchestration patterns: routing, parallelism, retry logic
5
Production debugging: tracing, logging, and incident response for AI
What you'll be able to do
- ✓ Build AI systems that are observable, debuggable, and safe
- ✓ Implement guardrails that prevent costly production failures
- ✓ Orchestrate multi-agent workflows with predictable behaviour
- ✓ Respond to AI incidents with the same rigour as traditional systems
Apply for AI Engineer
10 weeks · Engineers · Singapore & globally online
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