Software teams everywhere are bolting AI onto old processes and wondering why nothing changed. We took a different path: we rebuilt the entire engineering model around AI agents from the ground up — and now a small, senior team ships enterprise-grade community engagement and social media management software at a pace that rivals organizations ten times our size.
We're hiring a Staff Software Engineer who thinks in systems, not just stories. Someone who'd rather spend an hour teaching an agent to handle a class of work forever than spend that hour doing it once. If your instinct is to remove the bottleneck instead of working around it, keep reading.
The Role
You'll sit at the intersection of product engineering, AI infrastructure, and technical leadership — owning the machinery that makes autonomous agent workflows reliable enough for Fortune 100 customers.
Core Responsibilities
Architect agent-ready systems. Design the context, tooling, evaluation harnesses,
and guardrails that allow coding agents to execute full development workflows — from plan through merged release — with decreasing human intervention over time.
Orchestrate parallel agent fleets. Delegate work across multiple agents simultaneously, inspect results against enterprise quality standards, and when an agent stumbles, improve the underlying capability so the fix is permanent and shared.
Ship production features fast. Work in a closed loop with product leadership where customer feedback captured in the morning can be live by afternoon. Speed matters, but never at the expense of reliability — our customers' brand reputations depend on what we ship.
Raise the ceiling for everyone. Package every improvement — rules, skills, context files, eval frameworks — so the entire team benefits. Your leverage compounds across people, not just your own output.
Lead senior engineers. Scope work, review architecture and pull requests, and hold the quality bar. You set technical direction and model the AI-native wa