AI Engineer
Aviator — Google-level engineering productivity suite
About the role
ABOUT US
We are on a mission to give patients the care they deserve by making it easy to navigate the healthcare system. Aviator aims to become the entry point into the healthcare system for every family. We are building a care coordination system driven by human healthcare experts and AI to help every patient access the necessary care to live a longer, healthier life. We’re backed by leading investors including Chemistry + founders and executives from Doordash, Assort Health, Tennr, Nourish, OpenAI, Applied Compute, Medallion, Formation Bio, and more.
ABOUT THE ROLE
As an AI Engineer, you’ll build end-to-end AI-native product experiences across Aviator’s patient-facing app and internal AviatorOS, shipping everything from polished UIs to scalable APIs and integrations that power real care coordination. You’ll also help productionize our agentic and automation layer by building tool-using agents, workflow orchestration, evals, and safe human-in-the-loop controls so AI can reliably handle high-stakes operational work. This is a high-ownership role for someone who thrives in a fast-moving startup, loves turning messy real-world workflows into simple software, and ships quickly without compromising reliability.
This role is in person in New York City, 5 days / week.
IN THIS ROLE, YOU WILL:
- Work across the stack to create seamless, intuitive user experiences backed by robust systems.
- Prototype, test, and iterate quickly on new product ideas and workflows.
- Collaborate with product, clinical, and operations teams to translate real-world needs into elegant technical solutions.
- Build scalable backend services and APIs that integrate with EHRs, licensing systems, insurance platforms, and internal tools.
- Help define, scope, and review key projects; prioritize roadmap objectives; and sequence our deliverables.
- Contribute to architectural decisions and engineering best practices as the company grows.
- Implement monitoring, testing, and quality assurance to ensure consistent, reliable performance.
TECHNICAL SKILLS
- 2+ years of full-stack experience with a strength in backend systems (Python/TypeScript, Postgres, APIs/SDKs) and are comfortable jumping to frontend when needed.
- A strong product sense and design intuition - you care about usability, polish, and user delight, not just functionality.
- Familiarity with agent frameworks, automation tools, and AI-driven systems.
- Deep comfort building with AI tools, including structured outputs, tool calling, retrieval patterns, and handling uncertainty safely.
YOU’RE A GOOD FIT IF YOU…
- Have high agency: you can set direction, make judgment calls, and drive projects forward without waiting for perfect clarity.
- Have a strong sense of ownership and bias toward action.
- Have shipped 0→1 products in a startup or fast-paced environment.
- Can drive projects independently, with high accountability without much outside input.
- Communicate clearly in writing: PR descriptions, docs, and Slack updates keep the team in sync.
- Are adaptable and able to dive into unfamiliar systems, learn quickly, and make sound technical decisions.
- Enjoy collaborating with a small, ambitious team in a fast-paced environment.
- Are excited to work 5 days a week in our New York HQ (or open to relocating here).
- Have a BS, MS in Computer Science or related field
OUR COMMITMENT TO YOU
- Company Equity: We are all owners and provide generous company equity.
- No BS: Nothing in your way to own your work. We are always honest with one another and act in the best interest of the company’s success, not individual feelings.
- Exponential Growth: Growth drives everything, including careers. Everyone at Aviator receives mentorship from our team investors, and advisors. You will have endless opportunities to drive incredible impact, flex diverse skillsets, and scale your career trajectory.
- Elite Team: Our team is composed of elite performers. We elevate and 10x each other to drive the greatest impact.
CORE VALUES
1. Olympian’s Work Ethic: We bend the structures to transform health care. We work harder, longer, and smarter.
2. Bias for Action: We have to shoot game shots to make game shots. From facing seemingly impossible challenges to an individual day’s work, we are always biased for action. We do the thing.
3. No Ego: Everyone takes out the trash, metaphorically and literally. Everything we do is to move the company forward.
4. Customer Obsession: We exist to make healthcare easier for patients and families. Every decision should improve this experience.
We are at a major inflection point in our healthcare system and aging population. It is rare to have the opportunity to change the world at scale, and even more rare to have a win-win-win model in healthcare. We have the opportunity to shape the future of healthcare in America. If this excites you, come build with us.
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- No pay range in our index for this listing. Across 193 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $213k and $300k, median $250k — JobLarper's read of the market, not a figure from Aviator.
- What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names AI/LLM, Python, REST/APIs, Backend, React Native.
- Aviator is hiring actively — 2 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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- Technical Ex-FounderNew York City · Mid
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