Convoy Health is an AlleyCorp company — built inside the studio Kevin Ryan
founded (MongoDB, Pearl Health). AlleyCorp was recently the most active early-
stage healthcare investor in the U.S., and it builds serious applied AI — Rogo
(the Gen AI now used inside 25+ banks and hedge funds) and Radical AI (its
largest-ever incubation). We're an early-stage healthcare-AI company putting
agents and applied ML to work on the financial and operational decisions that
run health systems, ACOs, and payers. Real customers, real data, in production
today.
**The role**
You're our founding AI engineer — the person who owns the intelligence layer
of the product. You'll design and ship the agentic systems that read our
healthcare data, reason over it, call tools, and put decisions in front of
finance and operations leaders: LLM orchestration, retrieval, tool-use
contracts, evals, guardrails, and the inference stack. You'll also own the
data foundation that makes the AI trustworthy — the messy, high-stakes
healthcare data (claims, clinical, RCM) the models run on. No inherited stack,
no playbook. A direct line to the CTO and your fingerprints on every decision
that matters.
**Who you are** — a bar on talent and trajectory, not a checklist of tools
• You've shipped real AI in production — LLM-powered, agentic, tool-using
systems serving real users. You've hit the hard parts (evals, latency,
reliability, hallucination, cost) and shipped anyway.
• You've been a founding or early engineer at a startup — or an exceptional
engineer at a top company itching to build from zero. You move fast and own
outcomes end to end.
• You're fluent with data, and you've worked with messy, regulated, high-
stakes data. Healthcare claims (837/835/834), clinical, or RCM experience is a
real requirement here — you own the data foundation as well as the AI, and the
AI is only as good as the data under it.
• You're US-based and authorized to work in the US without visa sponsorship,
now or in the future.
**What matters less than you'd think**
• The exact tools on your résumé. Our stack is modern (Python, modern
LLM/agent frameworks, a cloud warehouse, dbt, Postgres), but we'd rather hire
a brilliant builder who'll master ours than someone who's memorized a specific
one.
• Years of experience as a number. We've watched 5-year builders out-build
15-year veterans. We index on slope, not tenure.
• A traditional enterprise path. If you're happiest tuning a mature system
inside a big org, this isn't it — this is a 0-to-1 seat.
**Why this seat is rare**
• "Founding" is usually just a title. Here it's the job — you're the first AI
hire, you define how an entire healthcare-AI company uses AI, and you report
straight to the CTO.
• The backing is real. AlleyCorp doesn't just write checks; it builds category
leaders from zero — MongoDB, Pearl Health, Rogo — and holds its AI to a "real
work, not copilots" bar. You get a rocketship's backing with a garage's
ownership.
• You build real AI, not a copilot demo. Live customers and production
healthcare data from day one — you ship into real workflows instead of waiting
on a dataset.
• The upside matches the bet: meaningful founding-level equity, behind a
backer whose last data company is worth tens of billions.
**Compensation**
$185K–$225K base + equity. Remote-friendly, US-based.