AI Engineer

What you will own

• Design and ship workflow automations against the systems clients already run: project management, accounting, email, document stores.
• Build and maintain the platform layer that hosts those automations and the operational data behind them.
• Own the reliability of what you ship. The work runs in production for operators who notice the moment it breaks.
• Work directly with the advisory team to turn operational findings into engineered systems, not the other way around.
• Keep up with what is actually useful in AI tooling so our clients do not have to.

What we are looking for

• Strong engineering fundamentals and the judgment to know when a system is dependable enough to trust.
• Comfort across the stack: TypeScript and Node, APIs, third-party integrations, data modeling.
• Experience building LLM-backed systems, or the appetite to go deep fast.
• A bias for systems that hold up over demos that impress.
• Able to talk to a non-technical operator and leave with the real requirement.

Nice to have

• Exposure to construction, finance, or operations-heavy businesses.
• Workflow tooling experience (n8n or similar).
• Next.js and modern React.

What you get

• Work remotely across the US or from our New York City office.
• Direct ownership of systems that ship to real users quickly.
• A short path from decision to production.
• Work alongside the advisory practice, not walled off from the client.

Equity

Meaningful equity in the company. We discuss compensation directly once we are in conversation.