Applied AI Engineer

Job Title: Applied AI Engineer
Location: New York City (In-office)
Employment Type: Full-time
Department: Engineering & Product

Company Overview

We are an AI-native health insurance startup rebuilding healthcare from the ground up. Today’s healthcare experience is expensive, confusing, and often so frustrating that people delay care. Our mission is to change that by creating a proactive, technology-driven health plan that helps people navigate care, understand costs, and avoid financial fear.

Our platform delivers continuous, personalized support for members—helping with benefits navigation, appointment scheduling, care decisions, and proactive health outreach. Backed by top-tier investors and led by a deeply technical founding team, we are scaling quickly, covering tens of thousands of members and seeing strong demand across employers, brokers, and partners.

Role

As an Applied AI Engineer, you will own the end-to-end development of AI-native product experiences that redefine how people interact with their healthcare. This is a high-ownership, product-facing role where you’ll ship production AI systems used daily by real users.

You’ll work at the intersection of LLMs, product engineering, and complex healthcare workflows, building systems that reason, act, and scale in production.

What You’ll Work On

• AI-Powered Care Triage: Build intelligent experiences that help users understand symptoms and navigate to the right level of care (ER, Urgent Care, Primary Care), preventing unnecessary visits and reducing out-of-pocket costs.

• Always-On Care Partner: Develop conversational AI that helps users understand lab results, diagnoses, and treatment plans—providing 24/7 support with clarity and empathy.

• Proactive Health Engine: Create systems that analyze claims and behavioral data to drive personalized outreach for screenings, medication adherence, and preventive care.

• Core AI Platform: Advance internal AI capabilities across prompt orchestration, context engineering, retrieval systems, agent workflows, and evaluation frameworks.

Qualifications

• Experience shipping production AI-powered products end-to-end

• Strong product mindset with a track record of owning 0→1 features

• Hands-on experience building LLM-powered applications in production

• Strong backend experience with Python and relational databases (Postgres)

• Experience designing LLM agents, workflows, or autonomous systems

• Pragmatic approach to LLM safety, reliability, and evaluation (guardrails, red-teaming, latency/cost tradeoffs)

• Comfortable operating in fast-paced, early-stage environments with high ownership

• Fluency using AI-assisted engineering tools (e.g., Cursor, Copilot)

Nice to Have

• Experience with TypeScript and React

• Familiarity deploying AI workloads on AWS or similar cloud platforms

• Background in healthcare, fintech, insurance, or other regulated domains

What We Offer

• High ownership and autonomy from day one

• Direct responsibility for core AI product experiences

• A mission-driven team working on meaningful, real-world problems

• Close collaboration with product, engineering, and leadership

• Competitive compensation and meaningful equity

• Benefits including:

  • 100% paid health insurance

  • Free lunches in the office

  • Commuter benefits

  • Team offsites and retreats

Compensation

• Base Salary: $210,000 – $230,000

• Additional: Performance bonus + equity

• Final compensation determined by experience, skill level, and interview performance

Why This Role

• Build AI systems that materially improve people’s lives

• Work on real, complex problems—not demos or research prototypes

• Join early at a company with strong traction, clear momentum, and long-term upside

• Apply frontier AI to healthcare instead of ads or engagement metrics

• Be part of a high-velocity, ambitious, and collaborative in-office team