AI Platform Engineer

Role Summary

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.

What You’ll Do

• 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.

You’re a Great Fit if

• Strong proficiency in Python for production software.
• Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.).
• Demonstrated experience building, integrating, and operating LLM-powered features/services.
• Able to decompose ambiguous problems, write clear technical plans, and execute with high ownership.
• Experience designing for reliability, scalability, and observability in production systems.
• You leverage AI Agents for day-to-day efficiency.

Nice to Have

• Terraform and Helm Charts for infrastructure and deployment.
• Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Storage).
• TypeScript for service or UI integrations.
• Postgres for application data modeling and performance.