Senior Platform Engineer, AI

Summary

Join Thyme Care as a Senior Platform Engineer, AI and be part of a team building a best-in-class developer experience for engineers and data scientists. You will play a key role in supporting AI-driven capabilities, ensuring infrastructure supports secure and efficient model deployment. Responsibilities include architecting and maintaining scalable pipelines, operationalizing AI features, collaborating with cross-functional teams, building developer tooling, integrating Amazon Bedrock, enabling model behavior evaluations, and championing observability. You will work in a fast-paced environment, iterating quickly to ship MVPs. Thyme Care offers a competitive salary and benefits package.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Equity
• Benefits
• Other opportunities at Thyme Care