We're a stealth holding company acquiring and operating software businesses in overlooked, mission-critical industries - the systems that run the physical economy but have been ignored by Silicon Valley. We're rebuilding them as AI-native from the inside out.
We're small, well-capitalized, and moving fast. This is not a research lab. This is a build shop with real customers, real revenue, and real P&Ls.
The Role
You will be the AI engineer. You'll own:
1. Building the industry-specific GPT: the reasoning layer that encodes the domain expertise of each vertical we operate in.
2. Embedding AI-native functionality directly into our AI-native system of record: not bolt-on chatbots. Core workflow replacement. Agents that do the job.
3. Moving legacy systems of record datasets into new ai-native ones: Core workflow replacement. Agents that do the job.
4. Making it repeatable: Every new company we bring into the portfolio should benefit from the playbook, model stack, eval harness, and infra you build.
5. 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.
What You'll Do…
- 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
Who You Are…
- 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.
- You've been called a 10x engineer and it wasn't in a self-review.
- You have demonstrated experience building and deploying production-grade AI/LLM harnesses that connect models to customer data, tools, APIs, and business workflows, with appropriate evaluation, observability, guardrails, and failure handling.
- You have strong opinions about when to fine-tune vs. prompt vs. RAG vs. agent vs harness and you can defend them with numbers.
- You've built with the current frontier stack (Claude, GPT, Gemini, open models) in production, not just in a Jupyter notebook.
- You are allergic to slide decks and comfortable with ambiguity, small teams, and unglamorous industries.
What This Role Is Not…
- A research role. We ship.
- A management role. You build.
- A "Head of AI" title for LinkedIn. You will be in the codebase daily.
- A place for people who need process, roadmaps handed to them, or a 20-person team to feel productive.
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
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