About the role
Design and build AI systems for care delivery.
- •As a Principal AI Engineer, you will help design and build the architecture that enables this evolution, translating complex care processes into reliable, production-grade AI systems in close partnership with product and domain experts.
- •Key Responsibilities Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows.
- •Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration.
- •Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration.
- •Requirements Systems-Oriented Technical Leader: You think in systems, not features.
- •You make strong architectural decisions, navigate trade-offs effectively, and help shape technical direction across teams.
- •Applied Agentic AI Builder: You’ve built and scaled production agentic AI systems that perform meaningful work beyond simple chat interfaces.
- •You understand agent behavior, tool orchestration, stateful workflows, and the realities of operating AI systems in production.
- •Product-Minded Engineering: You partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior.
Tech stack
PythonTensorFlowPyTorchscikit-learnKubeflowAWSKubernetes
Match insights
Tech:Python, TensorFlow, PyTorch, scikit-learn, Kubeflow
Level:Senior