Automation Engineer

Thyme Care Senior Platform Engineer AI

Imagine building a better healthcare journey for patients with cancer where individuals and their loved ones feel seen, supported, and heard by their care team both in and out of the clinic. Where fast access to high-quality care is the norm, not the exception. Where patients have access to a care navigator to guide them through their diagnosis and trusted support all along the way.

At Thyme Care, we share a passion for transforming the cancer care experience not just for patients but also for their caregivers and loved ones, as well as those delivering and paying for their care.

As a Senior Platform Engineer AI at Thyme Care, you will join a team focused on building a best-in-class developer experience that enables our engineers and data scientists to deliver features that drive high-quality interventions for our members with cancer. You'll play a key role in supporting our growing set of AI-driven capabilities, ensuring our infrastructure can support the secure and efficient deployment of models across the platform. While your focus will be on AI features, you'll also contribute to broader platform work including maintaining our Kubernetes clusters, AWS resources, and developer tooling.

Architect and maintain scalable, secure, and observable pipelines for implementing, testing, and deploying web applications, workflows, and LLM-based services in production environments.

Operationalize AI features by building infrastructure that supports monitoring, performance tuning, feedback loops, model versioning, and safe rollouts.

Collaborate deeply with cross-functional teams including oncology experts, product managers, vCISO, and other engineers to translate fast-evolving care challenges into intelligent AI-enabled capabilities.

Build developer tooling and interfaces that allow engineers and domain experts to experiment, test, and deploy features (including LLM workflows) with minimal friction and maximal safety.

Integrate Amazon Bedrock into our infrastructure while ensuring compliance with healthcare security and privacy standards.

Enable structured evaluations of model behavior including bias detection, failure analysis, and user feedback integration to drive iterative improvement.

You've worked in fast-paced early stage environments. You're comfortable iterating quickly to ship MVPs and you know how to take a project from a loosely scoped idea to a fully realized feature.

You've built and scaled LLM-driven systems in production and you understand the unique needs of AI feature lifecycle management.

You have strong experience with infrastructure-as-code (we use Terraform), CI/CD (we use GitHub Actions), and service observability (we use Datadog and PagerDuty).

You've deployed and managed infrastructure in AWS.

You've used Python in a professional context (we use it for scripting DevEx tools and to deploy applications to Kubernetes using cdk8s).

At Thyme Care, our core values guide us in everything we do:

Act with our members in mind

Move with purpose

Seek diverse perspectives

They anchor our business decisions including how we grow, the products we make, and the paths we choose—or don't choose.

The base salary for this role is $165,000–$185,000. The salary range could be lower or higher than this if the role is hired at another level.

We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.

Be cautious of recruitment fraud and always confirm that communications are coming from an official Thyme Care email.