Job Description

**Founding AI/ML Engineer (LLM Infrastructure) — Ontarion (Remote, US) ·
$150,000–185,000 + 0.4–0.8% equity**

We just shipped our first RAG pipeline to real customers, and there's no
senior ML engineer yet to own what happens next. You'd be the first.

About us
Ontarion is a seed-stage AI company (9 people) building an enterprise AI
copilot, currently in private beta with 12 design partners. Stack: Python,
Pinecone, AWS.

What you'll do

Build and own our RAG pipeline from the ground up: retrieval, ranking,
generation
Make the first calls on model selection, infra, and eval process — there's no
existing playbook to follow
Ship directly to our design-partner customers and iterate on real feedback
within days
Set the technical foundation and hiring bar for the ML team we'll build around
you
Work directly with the two co-founders daily

What we're looking for
Must-have:

3+ years of ML engineering experience, including hands-on work with LLMs/RAG
Strong Python skills, comfortable with vector databases
Experience shipping ML systems to production, not just prototypes
Comfortable being the only ML engineer for a while — no team to lean on yet

Nice to have:

Experience fine-tuning open-source models
Early-stage startup experience

What we offer

$150,000–185,000/year + 0.4–0.8% equity — meaningfully more ownership than
you'd get joining after a Series A
Fully remote (US timezones)
Health/dental/vision covered
Flexible PTO
$2,000/year learning budget

How to apply
Email us at [[email protected]](mailto:[email protected]). We
respond within 3 business days.