Founding Engineer

Omi Health; New York (NY); In loco; USD 140.000 - 180.000; Tempo pieno

Descrizione del lavoro

Omi Health in New York, NY seeks a senior technical leader to set the technical direction and own delivery end-to-end. You will design a unified data model for animal health records and build real production features on Python/FastAPI, Postgres, Supabase, and a modern frontend stack.

You will implement LLM-powered capabilities, ensure robust integrations with external systems, and establish a security/compliance bar that exceeds baseline requirements.

Competenze

• 4–6 years of production engineering experience.
• Owned a backend service end-to-end in production.
• Shipped an LLM feature and improved it.
• Integrated a hostile external system.
• Deep Python expertise and opinions on async.
• Made architectural decisions that others build on.

Mansioni

• Design the data model to unify fragmented animal health data as volume grows.
• Own production delivery and end-to-end architecture decisions.
• Develop and deploy AI features with robust evaluation and CI gates.
• Integrate external systems with idempotency and reconciliations.
• Set security/privacy bar higher than required and prove it.
• Help shape the engineering culture and hiring bar.

Conoscenze

Backend ownership

LLM features

Python

Async programming

Architectural decisions

Problem-to-working-system

Animal compassion

Strumenti

Python

FastAPI

PostgreSQL

Supabase

SwiftUI

React

TanStack

AWS

Terraform

Descrizione del lavoro

Omi Health is the most trusted destination for pet health, and the first place pet parents turn to for guidance. We run proprietary longevity tests for dogs and combine them with user-reported and historical data to educate pet parents on how to extend their pets' lives. Over time, we are building the longitudinal data layer for the entire pet industry, extending the lives of more than 200M dogs and cats in the US alone.

Thousands of pet parents are on our waitlist, we've raised 4M+ by a16z and the likes, and are joined by leading veterinarians and longevity researchers. Our founders scaled consumer health brands from zero to hundreds of millions in revenue; are second-time founders and met at Harvard Business School.

You'd be the most senior technical person in the company, in charge of setting the technical direction of the company and owning delivery end-to-end.

What you'll own

You'll build on top of a real production stack: Python/FastAPI on Postgres and Supabase, a SwiftUI iOS app, React and TanStack across our web and admin surfaces, AWS managed with Terraform. Every architectural decision from here is yours and you'll have a say in who works alongside you.

• The data model. Animal health data arrives fragmented, inconsistently coded, and from sources that disagree with each other. You'll design the model that turns it into one coherent record per animal that holds up as the volume grows and the questions we ask of it get harder.
• AI that has to be right about somebody's dog. We have LLM features in production today, used by real pet parents asking real questions about their animals. Making them good is a systems problem, not a prompting problem: retrieval that surfaces the right evidence, an eval harness with a golden set and regression gates in CI, a failure taxonomy derived from reading actual traces, a clean handoff to a human when needed.
• Integrations with systems that don't want to be integrated with. Health data sources with undocumented APIs, unreliable uptime, and payloads that contradict themselves. Idempotency, reconciliation, and a trust layer over data you don't control.
• The security and privacy bar. Pet health data isn't HIPAA-covered but still gets scrutinized as though it were, so you'll set a bar well above what the law strictly requires and own the work that proves it under real diligence.
• The team after you. Engineering culture, hiring bar, and the first engineers you bring in.

Who you are

Roughly 4-6 years of production engineering. The number is a proxy for the following; if you've done these in two years or in eight, we'd love for you to apply.

• You've owned a backend service end-to-end in production
• You've shipped an LLM feature and then made it measurably better
• You've integrated a hostile external system
• You're deep in Python and have opinions about async
• You've made an architectural decision that other engineers then built on top of
• You go from a vague problem statement to a working system without a spec
• You actually care about animals. No need to have one yourself, but the passion helps you fit in :)

Bonus:

multi-agent systems in production, a background in healthcare, comfort shipping iOS or React when the product needs it.