AI Platform Engineer

About Orderly Wellness

OrderlyMeds is building a better, more supportive healthcare experience—one that’s fast, reliable, and designed with people in mind. As a fully remote company, we’ve grown quickly by combining thoughtful technology with compassionate service, helping tens of thousands of patients get the care and medication they need, without the hassle.


We’re a collaborative, mission-driven team working across the U.S. (and beyond!) to improve access to care at scale. With over 100 customer support agents, six pharmacy partners, and a 50-state clinical network, we’re scaling fast, and looking for curious, kind, and solutions-oriented people to grow with us.


About the Role

We’re looking for an AI Platform Engineer to own the infrastructure that powers Orderly Wellness’ next-generation AI systems. You’ll take the foundational platform we’ve built and bring it to production-grade scale - driving performance, reliability, zero-downtime operations, and real-time responsiveness across our entire AI stack.

 

This role sits alongside our AI Engineers and AI Analysts and focuses on everything under the hood: Cloud Run optimization, Datastore performance tuning, rollout of CI/CD pipelines, batch workflow stability, error detection, scraping/Chrome pool orchestration, and ultra-fast model serving. If you love solving hard infrastructure problems, squeezing every millisecond out of a system, and making complex systems feel effortless for users - this role is for you. This is a hands-on IC role with significant ownership and visibility.

 

What You will Do

  • Own reliability & uptime for our AI platform - ensuring systems are stable, observable, and built for 24/7 availability.
  • Optimize performance across our chat, voice, and automation flows, driving latency down from seconds to sub-second.
  • Architect and maintain scalable infrastructure using Google Cloud services: Cloud Run, Datastore, Cloud Storage, Pub/Sub, Secrets Manager, and more.
  • Design and implement our first CI/CD pipelines, using tools like Terraform, Cloud Build, GitHub Actions, or Kubernetes-based deployments.
  • Build and optimize Chrome/puppeteer scraping pools and long-running batch workflows; create automated recovery and error-identification systems.
  • Improve workflow run performance, memory usage, resource allocation, concurrency handling, and throughput across services.
  • Support our real-time voice and chat features by delivering low-latency, high-throughput serving layers.
  • Collaborate with AI Engineers to deploy new models, improve inference speed, and maintain high-performance API and service layers.
  • Establish monitoring, alerting, and logging across the AI platform using tools like Cloud Logging, Cloud Monitoring, Prometheus, OpenTelemetry, etc.
  • Evaluate and introduce modern open-source technologies to keep the platform flexible, scalable, and future-proof.


What you Bring

  • 4 - 7+ years’ experience in DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Infrastructure roles.
  • Deep experience with Cloud Platforms, preferably Google Cloud (GCP), including Cloud Run, Datastore, Storage, IAM, and networking fundamentals.
  • Proficiency in one or more of: Go, Python, Bash, and experience deploying or supporting microservices at scale.
  • Strong foundation in CI/CD, infrastructure as code (Terraform, Cloud Build, GitHub Actions), and automated deployment workflows.
  • Experience with performance profiling, latency reduction, concurrency, caching, and high-throughput system design.
  • Experience operating and diagnosing long-running jobs, scrapers, browser automation, or message-queue-driven workflows.
  • Strong reliability mindset: observability, metrics, alerts, incident response, logging, chaos testing, and building for fault tolerance.
  • Ability to wear multiple hats - infrastructure builder, performance tuner, production firefighter, systems architect.
  • A passion for turning prototypes into fast, stable, scalable production systems.

 

Why You Will Love It

  • You will own the platform that makes AI possible at OrderlyMeds & other brands.
  • You’ll work directly with the AI team to build the next generation of our infrastructure.
  • You’ll take a platform that works - and be the one who makes it fast, resilient, and ready for scale.
  • You’ll introduce the tooling, best practices, and infrastructure patterns that shape the company long-term.
  • You’ll get to build with modern, flexible technologies, not inherit legacy systems.

 

Compensation and Benefits

Orderly Wellness offers a comprehensive benefits package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, and vision coverage with strong employer contribution, FSA and HSA options (with potential employer contributions), a 401(k) with company match, generous paid time off, paid parental leave, mental health and family-planning support, and access to professional development resources.

The pay range for this role is:

90,000 - 120,000 USD per year (Remote (United States))

Engineering

Remote (United States)

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