AI Operations Engineer

Coast is hiring an AI Operations Engineer to build and operate autonomous agents and shared AI infrastructure across the company. The role identifies high-impact workflows, measures efficiency gains, and enables teams to use AI through training and self-service tools.

Responsibilities:

• Find and prioritize the work. Sit with teams, map their workflows, and size the time saved. Turn what you find into a ranked backlog with the AI Lead
• Build autonomous agents. Ship event-driven agents that do multi-step work across our stack. You’ll own the engineering off-the-shelf tools can’t do:
• Loop and orchestration: design agent loops, sub-agent handoffs, and when to act alone or escalate to a human
• Memory and context: model shared memory as a knowledge graph, and decide what each agent sees, remembers and forgets
• Custom tooling: build the tools our agents need
• Traces and evals: trace every run, score outputs against test sets built from real outcomes, and prove each version beats the last
• Measure impact. Define success metrics for each build, track adoption and time saved, and report results to leadership
• Run what you ship. Own reliability, latency and cost in production, and catch regressions before users do. Partner with Security and IT on access, audit trails and the handling of sensitive data
• Enable the company. An AI-native company runs on self-service, and self-service needs solid infrastructure. You’ll architect the shared foundation the rest of Coast builds on: knowledge bases, application databases, templates, tools, and connectors. Then you’ll help people use it through training, office hours and hackathons, and grow a network of AI champions
• Stay on the cutting edge. Try new models and tools as they land, measure them against what we run today, and keep raising the bar on everything you’ve built