Description
Founding AI Engineer
Location: New York
Department: Engineering
Location Type: HYBRID
Employment Type: FULL_TIME
Jetty is building the first AI functional health doctor & coach. We're starting with solutions for people living with chronic illness, the hardest use case. Our mission is to help people become their own best advocates by giving them an intelligent partner that evolves with their health journey, helping them understand what their body is telling them.
Health data is uniquely hard: personal, messy, and constantly changing. Symptoms ebb and flow rather than turning on and off. Patterns emerge over weeks, not sessions. And the signals that matter—what actually helps someone feel better—are different for everyone.
We're building infrastructure to capture and reason about this data in ways that compound over time: rich data modeling, precise timeline handling, and personalization that improves with every interaction. Our approach treats models not as chat interfaces but as components in larger systems—generating artifacts, managing state, and themselves accumulating the signal needed to train specialized models.
We’re a small, high-velocity team with big ambition. We move fast, think deeply, and care about substance over hype. If you want to build the definitive personal health intelligence from day one, this is the place. This is our first engineering hire, so you'll work directly with the founding team: a former senior AI leader from Palantir and a former venture investor from NEA.
Jetty is backed by the top seed investor in NYC and recently raised over $2M.
The Role
We're looking for a Founding AI Engineer to build the core systems that make Jetty intelligent — and that make it stay intelligent over months of use.
Most LLM products are stateless: every conversation starts from scratch. Jetty is different. We're building infrastructure where every interaction feeds forward — data flows into context, context shapes insight, insight drives value, and value brings people back. Your job is to build the systems that make this loop work: the data pipelines, memory architecture, and context layers that let Jetty surface genuinely novel insights even after months of use.
This sits at the intersection of backend engineering and AI-native product development. You'll own API design, database schema, and infrastructure — but the interesting part is figuring out how to make a probabilistic model behave like a reliable, evolving health partner.
You’ll be joining a live product with active users, not a blank repo. We have a solid foundation, but the architecture for deep, long-term health intelligence is still being defined—and you’ll help write it.
This is a remote or hybrid role (preference for US time zones), with optional in-person time in NYC for collaboration.
What You'll Do
- Product Development: Build core features that make Jetty a faster, smarter, and more delightful product.
- LLM Engineering: Design systems where models are components in larger workflows — not just chat endpoints, but nodes that generate, validate, and compose structured outputs. You'll shape context architecture, memory systems, and the configurations that let intelligence flow through the product.
- Infrastructure & Reliability: Work around the full lifecycle of code — CI/CD, deployments, observability. Build systems that scale gracefully and fail safely.
- Work with Hard Data: Health data is sparse, vague, and temporal. You'll build systems that extract signal from conversational inputs without imposing false precision.
- Build & Iterate: We invest in foundations where they compound, and move fast on everything else. You'll do both.
What We're Looking For
- 3–6+ years experience as a software engineer.
- Strong in Python
- Instincts for reliability, scaling, security, and observability.
- Comfortable operating in ambiguity and early-stage chaos. You should be comfortable with rapid iteration and high expectations for both speed and quality. As a result, you’ll be able to own meaningful projects end-to-end.
- Experience with (or genuine excitement for) creative LLM engineering—not just calling endpoints, but shaping model behavior through context design and system architecture.
- Bonus:
- Swift, frontend skills, or experience with real-time systems.
- Experience with strongly typed or compiled languages (Go, Rust, Java, etc.)
- Experience with real-time systems
What We Offer
- The opportunity to build a product that genuinely changes how people manage their health.
- Competitive salary & meaningful equity package.
- Real ownership and impact from day one.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say