Arlo
Health Insurance
AIForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Forward Deployed Engineer at Arlo. Skills: AI, LLM, full-stack AI and LLM apps, Python, Postgres, modern AI workflows. Embed directly inside the core functions of our business and rebuild how work gets done. Work shoulder-to-shoulder with teams, deeply understand how their operations function, and use AI to automate, augment, and redesign their workflows”
What You'll Achieve.
make sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it; identifying fraud earlier; steering members toward higher-quality and lower-cost care; automating operational overhead; eliminating vendors whose business exists mostly to take a cut; build an insurer that becomes more efficient as the technology improves; scale far beyond what traditional headcount would support; eliminate manual work and compress operational overhead; every team at Arlo should become AI-native; operational leverage: faster workflows, fewer manual processes, lower costs, and teams that can scale far more efficiently because of the systems you deployed
Industry & Context.
identifying bottlenecks; mapping workflows; compress operational overhead
What They're Looking For.
Must Have
You’ve shipped full-stack AI and LLM apps, You know your way around Python, Postgres, and modern AI workflows, You handle tradeoffs: fast but safe, powerful but reliable, You build guardrails into everything you ship, You use AI-powered developer tools to move at startup speed
Nice to Have
Kubernetes a plus
What You'll Do.
Embed directly inside the core functions of our business and rebuild how work gets done
Work shoulder-to-shoulder with teams
deeply understand how their operations function
and use AI to automate
and redesign their workflows
and operational infrastructure
identifying bottlenecks
and rapidly deploying systems that eliminate manual work and compress operational overhead
Embed within operational teams across the company
and work directly with them to understand how decisions are made
where work slows down
and what can be automated
Build AI underwriting agents that synthesize risk
and assist decision-making
Automate claims workflows that currently require manual review and coordination
Create internal copilots for support and care navigation teams
Design systems that extract structure and actions from messy healthcare documentation
and evaluation systems that improve operational reliability over time
Replace repetitive back-office workflows with AI-native tooling and agents
ship directly into production
and iterate closely with the teams using what you build
How You'll Work.
Team & Collaboration
work shoulder-to-shoulder with these teams; work directly with them to understand how decisions are made; iterate closely with the teams using what you build; high collaboration; works closely, openly, and with ambition
Full Job Description
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 We’re looking for AI Forward Deployed Engineers to embed directly inside the core functions of our business and rebuild how work gets done. At most insurance companies, teams such as underwriting, claims, premium finance, member support, care navigation, and sales operations each rely on extensive ecosystems of external vendors and legacy SaaS tools. At Arlo, we build those systems ourselves. Your job is to work shoulder-to-shoulder with these teams, deeply understand how their operations function, and use AI to automate, augment, and redesign their workflows from the ground up. In practice, that means building AI agents, internal tooling, copilots, decision systems, and operational infrastructur
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