Our client, a Series B company automating decision-making for field workers at scale, is looking for a Senior AI Platform Engineer to own the infrastructure layer enabling autonomous agents to operate reliably at production scale.
You'll design and build the systems that allow their applied AI team to ship production LLM applications without breaking things. The focus is infrastructure engineering for AI systems — not traditional MLOps or feature engineering.
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; Observability and guardrails — Implementing monitoring that catches when autonomous agents fail; tracking decision quality, tool-use patterns, and failure modes
4+ years building production systems (not just experiments or prototypes)
~ Strong Python skills; Deep AWS infrastructure knowledge — particularly serverles...