Hopkins PE — Remote (US/UK time zones preferred) — Forward-Deployed Engineer & Embedded Analyst — chris@hopkins.pe

Hopkins PE is building the first AI agent for private equity. Our mission is to help deal teams move faster, make sharper decisions, and cut reliance on external vendors by embedding AI directly into the investment workflow. We’re backed by leading investors and already have hundreds of firms on the waitlist.

Roles open now:

Forward-Deployed Engineer (FDE): Embedded with PE firms, rapid prototyping, adapting our AI to live deals (Python, FastAPI, React, Postgres, cloud).

Embedded Analyst / Outcome Lead (Echo): Ex-PE/IB/consulting operator, mapping pain points, defining outcomes, and working alongside FDEs to deliver value.

If you thrive in ambiguous, high-stakes environments and want to shape how AI transforms private equity, send a note + CV to chris@hopkins.pe .

Hopkins (hopkins.pe) – Founding Full‑Stack Engineer Location: REMOTE (UTC‑3 → UTC+3 preferred, open worldwide)

We are building an AI analyst that lets private‑equity teams surface deals sooner, model targets faster and publish sharper insights. Backed by tier‑one angels (Nas, Chad Hurley, Jeffrey Katzenberg, Andrew Bogut, Elefund), we’re live with paid design‑partner funds and now need our first dedicated engineer.

Stack TypeScript, Node.js, Next.js 14, Postgres + Prisma, OpenAI function‑calling, Vercel, AWS (VPC, EB, S3, RDS).

You’ll own schema design, LLM prompt/tool orchestration, and AWS/Vercel deployment from day one.

Comp £95–120k / $120–150k + 0.5–1.5 % equity | Full hardware & conference budget.

Apply → email chris@valandor.ai with:

GitHub/portfolio link 2. 2‑sentence note on why Hopkins’ PE problem excites you.

(Founder‑run, one post only. We reply to every serious application within 5 business days.)