Applied AI Engineer

Arlo•New York City, NY

5d•$210,000 - $230,000

About The Position

Arlo is rebuilding health insurance from the ground up using AI. The healthcare experience today is expensive, confusing, and often so frustrating that people delay the care they need. We’re changing that by reimagining what a health plan should be: a proactive partner that enables health rather than denying it. Our AI-native platform delivers continuous, personalized support for members—helping them navigate benefits, schedule appointments, access high-quality care, and avoid financial fear. Powered by the industry’s most advanced risk-pricing engine, Arlo is already scaling fast: we’ve grown to $XXXM in premiums, cover tens of thousands of people, and see accelerating demand across brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, our team combines deep industry expertise (Palantir, YC) with the ambition to modernize a $1T market. About the Role As an Applied AI Engineer, you will own the end-to-end development of core product experiences that redefine how our members interact with their healthcare. Architect and ship new AI-native features that serve tens of thousands of members. Build and deploy sophisticated LLM-powered agents that autonomously reason through complex healthcare workflows. Evolve our core AI stack by advancing our capabilities in prompt orchestration, context engineering, retrieval systems, and evaluations.

Requirements

This role is a great fit if you are a product-minded engineer who thrives on building with the latest AI technology.
Demonstrated experience shipping full-stack AI products , from backend infrastructure (Python, Postgres) to production LLM applications.
A strong product intuition and deep intellectual curiosity , with a passion for building 0-to-1 experiences in a fast-paced startup environment.
You own problems end-to-end.
A pragmatic approach to LLM safety and reliability , with hands-on experience implementing guardrails, red-teaming, and creating evaluation frameworks to manage trade-offs between performance, cost, and latency.
Fluency with AI-assisted engineering tools (e.g., Cursor, Copilot) to accelerate your development workflow.

Nice To Haves

Experience with our front-end stack (TypeScript, React).
Familiarity with deploying AI workloads on a major cloud platform (AWS, etc.).

Responsibilities

AI-Powered Triage: Develop an intelligent experience that helps patients understand their symptoms and guides them to the right setting of care (ER, Urgent Care, or PCP). You’ll prevent costly, unnecessary visits and directly save members thousands in out-of-pocket costs.
An Infinitely Scalable Care Partner: Build a conversational AI to help patients understand their health, from decoding lab results to clarifying treatment plans. You'll give members the 24/7 support and infinite patience that the traditional system simply cannot offer.
Proactive Health Engine: Pioneer an outreach tool that analyzes claims data to send personalized, timely campaigns for preventive screenings and medication adherence. You’ll transform healthcare from a system of static, soulless emails into one of dynamic, personal engagement.

Benefits

High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company.
Join an important mission: Your work directly influences how people access care and improves lives at scale.
Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity.
Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare.
High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition.

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