Founding Forward Deployed Engineer

You will be the AI engineer. You'll own:

Building the industry-specific GPT : the reasoning layer that encodes the domain expertise of each vertical we operate in.

Embedding AI-native functionality directly into our AI-native system of record : not bolt-on chatbots. Core workflow replacement. Agents that do the job.

Moving legacy systems of record datasets into new ai-native ones : Core workflow replacement. Agents that do the job.

Making it repeatable : Every new company we bring into the portfolio should benefit from the playbook, model stack, eval harness, and infra you build.

Managing AI talent across our operating companies : you'll be a player-coach for the AI engineers embedded at each sub.

Split: 90% building. 10% managing. If that ratio scares you, this isn't your role. If it excites you, keep reading.

Ship a working domain-specific agent into a live customer environment in your first 30 days

Build the eval infrastructure that lets us measure whether these agents are actually replacing human workflows (not vibes)

Fine-tune, distill, or route across frontier + open models depending on the economics of each vertical

Sit with customers. Watch them work. Instrument their workflows. Rebuild them.

Write the AI engineering playbook that every future portfolio company inherits on day one

You are a builder first. You've shipped things people actually use. Alone or as the clear technical lead.

You are a forward-deployed engineer. You'll fly to a customer site, sit in their office, and understand the business before you write a line of code.