Job description
OUR MISSION
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. Today, Thyme Care is known predominantly as a cancer care navigation company enabling value-based cancer care; in the next few years, we will become a nationally recognized technology-driven and provider-centric care delivery model, reshaping the landscape of cancer care access, delivery, and experience. Our commitment runs deep—we’re not satisfied with the status quo but determined to redefine it.
To make this happen, we’re building a diverse team of problem solvers and critical thinkers to drive innovation and shape the future of healthcare. If you share our vision and want to be part of something truly meaningful, we want to hear from you. Together, we can revolutionize cancer care and make a difference that lasts a lifetime.
WHAT YOU’LL DO
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.
Champion observability and reproducibility—ensuring that every AI feature is trackable, auditable, and aligned with Care Team needs.
Contribute to a high-trust, collaborative engineering culture, mentoring others and helping shape the future of AI-powered oncology care.
WHAT YOU’VE DONE
- 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).
- You have comfort using an observability stack to monitor features once they hit production, troubleshooting any issues that arise.
WHAT LEADS TO SUCCESS
Strong engineering foundation. You bring production-grade engineering skills—writing maintainable code, building test coverage, setting SLAs, and deploying to a cloud environment using infrastructure-as-code.
Self-directed learning and team-wide teaching. You’re comfortable independently keeping up with the fast-changing ecosystem of foundation models and AI tooling and sharing new, relevant ideas and best practices with the team.
Security & compliance awareness. You have a thorough understanding of the distinct risks associated with managing sensitive health data and deploying AI systems within regulated sectors. Tooling mindset. You build infrastructure with users in mind—whether they’re engineers, data scientists, or clinical team members—and prioritize reliability and simplicity. Pragmatic approach to AI. You are driven by problems, not solutions. You prioritize solving the most important problems in the simplest way possible. You know when to reach for LLMs as a solution and when to prefer simpler programmatic approaches.
Mission-first thinking. You care deeply about human-centered AI and building systems that support—not replace—the judgment, empathy, and expertise of care teams.
OUR VALUES
At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and 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.
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. 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.
