AI Platform Engineer

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable’s solutions. You’ll translate ambiguous problem statements into clear, high‑quality technical plans and own delivery end‑to‑end — from ideation and requirements, to implementation, launch, and post‑delivery monitoring — with a focus on scalability, reliability, and measurable impact for our customers.

You’ll also leverage AI agents to increase day‑to‑day efficiency and share learnings that raise the overall quality bar across the engineering environment.

- Develop and maintain LLM integrations to power AI features across solutions.

- Ensure scalability, reliability, and performance of AI features in production.

- Translate abstract requirements into structured, sound technical plans and milestones.

- Own implementations end‑to‑end: discovery/requirements → design → build → launch → post‑delivery monitoring/iterating.

- Evaluate and articulate implications and trade‑offs of technical choices.

- Leverage AI agents to improve development velocity and operational efficiency.

- Collaborate across engineering and adjacent teams to share learnings, improve processes, and continuously raise quality.

- Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.).

- Demonstrated experience building, integrating, and operating LLM‑powered features/services.

- Ability to decompose ambiguous problems, write clear technical plans, and execute with high ownership.

- Experience designing for reliability, scalability, and observability in production systems.

- Terraform and Helm Charts for infrastructure and deployment.

- Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Storage).

- Experience with ML/AI platforms, agents, or orchestration frameworks.