AI Platform Engineer

AI Platform Engineer focuses on inspect, maintain, repair, install, design, or improve technical systems according to the role.

What the role involves

• Inspect, maintain, repair, install, design, or improve technical systems according to the role.
• Diagnose issues, complete checks, and keep records or handovers accurate.

Skills and requirements

• 4+ years building production systems (not just experiments or prototypes).
• Experience designing libraries or shared services that other engineers depend on.
• Deep AWS infrastructure knowledge — particularly serverless (Lambda, Step Functions, SQS, EventBridge).
• Experience designing reliable, maintainable systems for teams (not just individual contributor features).

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• Build the systems that allow their applied AI team to ship production LLM applications without breaking things.
• Multi-modal data pipelines — Ingesting video, audio, and structured data at scale.
• Agentic orchestration on serverless AWS — Building Lambda + Step Functions infrastructure for autonomous workflows.