About the Company: 
Hiring for an AI-native commercial insurance brokerage.
Role Overview – Senior AI Engineer
You have shipped production AI systems end to end, distributed services, trained models, and retrieval pipelines. You own architecture decisions, you measure what you ship, and you reason about cost, failure, and quality before writing code. This is a broad, high-ownership role spanning automation infrastructure, applied ML, and knowledge/ RAG systems. We are not looking for someone who has done all of it perfectly; we are looking for someone who has done enough of it in production to learn the rest fast.
Core Responsibilities
Distributed automation:

Re-architect a single-machine automation engine into a system handling 1,000 concurrent jobs against third-party portals: microservices, persistent browser session pools, container orchestration.
Design the job queue and execution model: dispatch, retry, per-target rate limiting, circuit breakers,...