Arlo Logo

Arlo

Applied AI Engineer

Posted Yesterday
In-Office
New York City, NY, USA
210K-230K Annually
Mid level
In-Office
New York City, NY, USA
210K-230K Annually
Mid level
The Applied AI Engineer will develop AI products for healthcare, focusing on LLMs and core product features that enhance member experiences.
The summary above was generated by AI

Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial.

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut.

AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves.

We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators.

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.


What You Will Do

To give you a sense of the impact you'll have, here are some initial projects you could own:

  1. 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.

  2. 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.

  3. 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.

What We’re Looking For

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.).


Target Compensation Range

$210,000 – $230,000 + equity

Why Join Arlo:
  • 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.


Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process.
Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.
🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: [email protected].

HQ

Arlo New York, New York, USA Office

30 W 21st St, New York, New York, United States, 10010

Similar Jobs

14 Hours Ago
Remote or Hybrid
USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Applied AI Developer will design and develop AI applications, build infrastructure for agentic AI systems, integrate APIs, and collaborate with stakeholders on AI solutions.
Top Skills: AirflowAWSCi/CdLlm ApisPythonSnowflake
20 Days Ago
Easy Apply
Hybrid
New York City, NY, USA
Easy Apply
150K-180K Annually
Mid level
150K-180K Annually
Mid level
Fintech • Information Technology • Software • Financial Services
The Applied AI Engineer designs and deploys AI-powered solutions, collaborating with teams to automate workflows and improve efficiency across Alloy.
Top Skills: Ai ApisLlmsPythonSQL
14 Hours Ago
Hybrid
2 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.
Top Skills: AWSAzureDatabricksGCPKerasNoSQLPandasPythonScikit-LearnSQLTransformers

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account