Senior Fullstack Engineer, AI

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 Fullstack Engineer, AI, you will play a pivotal role in advancing our intelligent systems, better empowering our care team to deliver personalized oncology support at scale. This is a full-stack role with a deep focus on applied AI and LLM-driven automation. You will collaborate with our product team on the design and implementation of new features in our existing products, leveraging AI to advance the standard of care for our members.

We expect AI to become a tool leveraged by all Thyme Care engineers. You will play an important role in this, using your expertise to level up your teammates, establishing best practices for AI-driven development in a regulated environment, and coaching others on when AI is not the best tool for the job. As AI becomes a core part of our development process, you should expect to join a product team, working on both AI- on non-AI features in the advancement of Thyme Care’s mission – still serving as a domain expert in the area of applied AI and LLMs when needed.

In your first six months, you will:

Design, develop, and optimize AI-enabled features for internal- and external-facing products, with a focus on reliability, safety, and transparency.
Build out an intuitive, scalable, and secure-by-default AI architecture using Amazon Bedrock to enable engineers across the company to independently incorporate AI-enabled features into their products, following industry and company best practices.
Collaborate daily with cross-functional teams, including oncology experts, product managers, our vCISO, and other engineers — translating fast-evolving care challenges into AI-driven solutions.
Develop a deep understanding of business and user needs — from our care model at the highest level, to the nuanced decisions made by our care team on a daily basis.
Leverage a number of data sources, including structured EHR data, user annotations, and streaming data from real-time communications — ensuring agents provide up-to-date, context-rich support to our clinical users.
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 know how to make data-driven decisions.
• You’ve collaborated closely with a Product team, helping to shape early ideas. You’ve taken projects from a loosely scoped idea to a fully realized feature.
• You have strong experience with web development. You’ve built single-page applications in stacks similar to ours: Vue.js/TypeScript, FastAPI/Python, and Postgres.
• You’ve developed and deployed machine learning or LLM-powered features in production, and you apply strong software engineering fundamentals to ensure their reliability, safety, and maintainability.
• You have comfort using an observability stack to monitor features once they hit production, troubleshooting any issues that arise. (We use Datadog.)
• You have experience working in regulated environments.

WHAT LEADS TO SUCCESS

AI-native development. You are comfortable building and launching intelligent agents or LLM-integrated products from the ground up. You’re comfortable deploying AI services in cloud envi